{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bollinger_Breakout 策略\n",
    "\n",
    "Buy： 价格突破UpperBand 和 Sigma<0.005\n",
    "\n",
    "sell： b%>0.05"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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o1dnPH3Yj8h4O5UrlRbFyxFDwoaqT7Vs9B4XM+CaEEEIIIYQQokC5HHaHS1dv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\naWw19KtjYTRZuOdf+wGYGuLJjCjvAY/X0t7J9qPlrJw9uJN2onxWTjQNL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g5h/jqeuX0h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\nzv8Hg4uhQjtILTYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10523b6a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':                cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                    \n",
       "  2010-06-01  1210.24      98789.76                  1.000    100000.00   \n",
       "  2010-06-02  1210.24      99271.08                  1.000    100481.32   \n",
       "  2010-06-03  1210.24      98498.88                  1.005     99709.12   \n",
       "  2010-06-04  1210.24      98798.04                  0.997    100008.28   \n",
       "  2010-06-07  1210.24      97045.92                  1.000     98256.16   \n",
       "  2010-06-08  1210.24      97176.24                  0.983     98386.48   \n",
       "  2010-06-09  1210.24     100156.68                  0.984    101366.92   \n",
       "  2010-06-10  1210.24      99000.72                  1.014    100210.96   \n",
       "  2010-06-11  1210.24      99319.32                  1.002    100529.56   \n",
       "  2010-06-17  1210.24      98738.28                  1.005     99948.52   \n",
       "  2010-06-18  1210.24      97062.12                  0.999     98272.36   \n",
       "  2010-06-21  1210.24     100103.76                  0.983    101314.00   \n",
       "  2010-06-22  1210.24     100213.92                  1.013    101424.16   \n",
       "  2010-06-23  1210.24      99306.00                  1.014    100516.24   \n",
       "  2010-06-24  1210.24      99270.00                  1.005    100480.24   \n",
       "  2010-06-25  1210.24      98506.44                  1.005     99716.68   \n",
       "  2010-06-28  1210.24      97804.08                  0.997     99014.32   \n",
       "  2010-06-29  1210.24      93312.72                  0.990     94522.96   \n",
       "  2010-06-30  1210.24      92270.52                  0.945     93480.76   \n",
       "  2010-07-01  1210.24      90938.52                  0.935     92148.76   \n",
       "  2010-07-02  1210.24      91227.60                  0.921     92437.84   \n",
       "  2010-07-05  1210.24      90455.40                  0.924     91665.64   \n",
       "  2010-07-06  1210.24      92264.40                  0.917     93474.64   \n",
       "  2010-07-07  1210.24      92897.28                  0.935     94107.52   \n",
       "  2010-07-08  1210.24      92733.12                  0.941     93943.36   \n",
       "  2010-07-09  1210.24      95295.60                  0.939     96505.84   \n",
       "  2010-07-12  1210.24      96343.92                  0.965     97554.16   \n",
       "  2010-07-13  1210.24      94845.24                  0.976     96055.48   \n",
       "  2010-07-14  1210.24      95529.96                  0.961     96740.20   \n",
       "  2010-07-15  1210.24      93906.72                  0.967     95116.96   \n",
       "  ...             ...           ...                    ...          ...   \n",
       "  2017-03-16  1210.24     125334.36                  1.259    126544.60   \n",
       "  2017-03-17  1210.24     124049.16                  1.265    125259.40   \n",
       "  2017-03-20  1210.24     124185.96                  1.253    125396.20   \n",
       "  2017-03-21  1210.24     124788.60                  1.254    125998.84   \n",
       "  2017-03-22  1210.24     124201.80                  1.260    125412.04   \n",
       "  2017-03-23  1210.24     124631.28                  1.254    125841.52   \n",
       "  2017-03-24  1210.24     125625.60                  1.258    126835.84   \n",
       "  2017-03-27  1210.24     125209.44                  1.268    126419.68   \n",
       "  2017-03-28  1210.24     124913.16                  1.264    126123.40   \n",
       "  2017-03-29  1210.24     124746.84                  1.261    125957.08   \n",
       "  2017-03-30  1210.24     123723.36                  1.260    124933.60   \n",
       "  2017-03-31  1210.24     124417.80                  1.249    125628.04   \n",
       "  2017-04-05  1210.24     126140.04                  1.256    127350.28   \n",
       "  2017-04-06  1210.24     126505.80                  1.274    127716.04   \n",
       "  2017-04-07  1210.24     126628.56                  1.277    127838.80   \n",
       "  2017-04-10  1210.24     126185.04                  1.278    127395.28   \n",
       "  2017-04-11  1210.24     126623.88                  1.274    127834.12   \n",
       "  2017-04-12  1210.24     126339.84                  1.278    127550.08   \n",
       "  2017-04-13  1210.24     126524.52                  1.276    127734.76   \n",
       "  2017-04-14  1210.24     125514.00                  1.277    126724.24   \n",
       "  2017-04-17  1210.24     125277.84                  1.267    126488.08   \n",
       "  2017-04-18  1210.24     124658.64                  1.265    125868.88   \n",
       "  2017-04-19  1210.24     124051.68                  1.259    125261.92   \n",
       "  2017-04-20  1210.24     124615.80                  1.253    125826.04   \n",
       "  2017-04-21  1210.24     124804.44                  1.258    126014.68   \n",
       "  2017-04-24  1210.24     123525.36                  1.260    124735.60   \n",
       "  2017-04-25  1210.24     123874.92                  1.247    125085.16   \n",
       "  2017-04-26  1210.24     124026.48                  1.251    125236.72   \n",
       "  2017-04-27  1210.24     124081.92                  1.252    125292.16   \n",
       "  2017-04-28  1210.24     123831.00                  1.253    125041.24   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2010-06-01        1.000000  100000  \n",
       "  2010-06-02        1.004813  100000  \n",
       "  2010-06-03        0.997091  100000  \n",
       "  2010-06-04        1.000083  100000  \n",
       "  2010-06-07        0.982562  100000  \n",
       "  2010-06-08        0.983865  100000  \n",
       "  2010-06-09        1.013669  100000  \n",
       "  2010-06-10        1.002110  100000  \n",
       "  2010-06-11        1.005296  100000  \n",
       "  2010-06-17        0.999485  100000  \n",
       "  2010-06-18        0.982724  100000  \n",
       "  2010-06-21        1.013140  100000  \n",
       "  2010-06-22        1.014242  100000  \n",
       "  2010-06-23        1.005162  100000  \n",
       "  2010-06-24        1.004802  100000  \n",
       "  2010-06-25        0.997167  100000  \n",
       "  2010-06-28        0.990143  100000  \n",
       "  2010-06-29        0.945230  100000  \n",
       "  2010-06-30        0.934808  100000  \n",
       "  2010-07-01        0.921488  100000  \n",
       "  2010-07-02        0.924378  100000  \n",
       "  2010-07-05        0.916656  100000  \n",
       "  2010-07-06        0.934746  100000  \n",
       "  2010-07-07        0.941075  100000  \n",
       "  2010-07-08        0.939434  100000  \n",
       "  2010-07-09        0.965058  100000  \n",
       "  2010-07-12        0.975542  100000  \n",
       "  2010-07-13        0.960555  100000  \n",
       "  2010-07-14        0.967402  100000  \n",
       "  2010-07-15        0.951170  100000  \n",
       "  ...                    ...     ...  \n",
       "  2017-03-16        1.265446  100000  \n",
       "  2017-03-17        1.252594  100000  \n",
       "  2017-03-20        1.253962  100000  \n",
       "  2017-03-21        1.259988  100000  \n",
       "  2017-03-22        1.254120  100000  \n",
       "  2017-03-23        1.258415  100000  \n",
       "  2017-03-24        1.268358  100000  \n",
       "  2017-03-27        1.264197  100000  \n",
       "  2017-03-28        1.261234  100000  \n",
       "  2017-03-29        1.259571  100000  \n",
       "  2017-03-30        1.249336  100000  \n",
       "  2017-03-31        1.256280  100000  \n",
       "  2017-04-05        1.273503  100000  \n",
       "  2017-04-06        1.277160  100000  \n",
       "  2017-04-07        1.278388  100000  \n",
       "  2017-04-10        1.273953  100000  \n",
       "  2017-04-11        1.278341  100000  \n",
       "  2017-04-12        1.275501  100000  \n",
       "  2017-04-13        1.277348  100000  \n",
       "  2017-04-14        1.267242  100000  \n",
       "  2017-04-17        1.264881  100000  \n",
       "  2017-04-18        1.258689  100000  \n",
       "  2017-04-19        1.252619  100000  \n",
       "  2017-04-20        1.258260  100000  \n",
       "  2017-04-21        1.260147  100000  \n",
       "  2017-04-24        1.247356  100000  \n",
       "  2017-04-25        1.250852  100000  \n",
       "  2017-04-26        1.252367  100000  \n",
       "  2017-04-27        1.252922  100000  \n",
       "  2017-04-28        1.250412  100000  \n",
       "  \n",
       "  [1678 rows x 6 columns],\n",
       "  'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2010-06-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-08  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-09  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-22  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-23  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-24  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-25  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-28  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-29  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-30  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-05  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-06  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-08  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-09  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-12  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-13  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-14  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-15  100000.000           0.0                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2017-03-16     198.424      210392.0                  2.097   210590.424   \n",
       "  2017-03-17     198.424      205751.0                  2.106   205949.424   \n",
       "  2017-03-20     198.424      204425.0                  2.059   204623.424   \n",
       "  2017-03-21     198.424      204204.0                  2.046   204402.424   \n",
       "  2017-03-22     198.424      202436.0                  2.044   202634.424   \n",
       "  2017-03-23     198.424      203320.0                  2.026   203518.424   \n",
       "  2017-03-24     198.424      203099.0                  2.035   203297.424   \n",
       "  2017-03-27     198.424      201994.0                  2.033   202192.424   \n",
       "  2017-03-28     198.424      201552.0                  2.022   201750.424   \n",
       "  2017-03-29     198.424      201331.0                  2.018   201529.424   \n",
       "  2017-03-30     198.424      200668.0                  2.015   200866.424   \n",
       "  2017-03-31     198.424      202657.0                  2.009   202855.424   \n",
       "  2017-04-05     198.424      203541.0                  2.029   203739.424   \n",
       "  2017-04-06     198.424      203320.0                  2.037   203518.424   \n",
       "  2017-04-07     198.424      203320.0                  2.035   203518.424   \n",
       "  2017-04-10     198.424      202878.0                  2.035   203076.424   \n",
       "  2017-04-11     198.424      202215.0                  2.031   202413.424   \n",
       "  2017-04-12     198.424      201552.0                  2.024   201750.424   \n",
       "  2017-04-13     198.424      201552.0                  2.018   201750.424   \n",
       "  2017-04-14     198.424      200668.0                  2.018   200866.424   \n",
       "  2017-04-17     198.424      201110.0                  2.009   201308.424   \n",
       "  2017-04-18     198.424      200005.0                  2.013   200203.424   \n",
       "  2017-04-19     198.424      196911.0                  2.002   197109.424   \n",
       "  2017-04-20     198.424      197132.0                  1.971   197330.424   \n",
       "  2017-04-21     198.424      198237.0                  1.973   198435.424   \n",
       "  2017-04-24     198.424      197353.0                  1.984   197551.424   \n",
       "  2017-04-25     198.424      198900.0                  1.976   199098.424   \n",
       "  2017-04-26     198.424      198679.0                  1.991   198877.424   \n",
       "  2017-04-27     198.424      198237.0                  1.989   198435.424   \n",
       "  2017-04-28     198.424      198679.0                  1.984   198877.424   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2010-06-01        1.000000  100000  \n",
       "  2010-06-02        1.000000  100000  \n",
       "  2010-06-03        1.000000  100000  \n",
       "  2010-06-04        1.000000  100000  \n",
       "  2010-06-07        1.000000  100000  \n",
       "  2010-06-08        1.000000  100000  \n",
       "  2010-06-09        1.000000  100000  \n",
       "  2010-06-10        1.000000  100000  \n",
       "  2010-06-11        1.000000  100000  \n",
       "  2010-06-17        1.000000  100000  \n",
       "  2010-06-18        1.000000  100000  \n",
       "  2010-06-21        1.000000  100000  \n",
       "  2010-06-22        1.000000  100000  \n",
       "  2010-06-23        1.000000  100000  \n",
       "  2010-06-24        1.000000  100000  \n",
       "  2010-06-25        1.000000  100000  \n",
       "  2010-06-28        1.000000  100000  \n",
       "  2010-06-29        1.000000  100000  \n",
       "  2010-06-30        1.000000  100000  \n",
       "  2010-07-01        1.000000  100000  \n",
       "  2010-07-02        1.000000  100000  \n",
       "  2010-07-05        1.000000  100000  \n",
       "  2010-07-06        1.000000  100000  \n",
       "  2010-07-07        1.000000  100000  \n",
       "  2010-07-08        1.000000  100000  \n",
       "  2010-07-09        1.000000  100000  \n",
       "  2010-07-12        1.000000  100000  \n",
       "  2010-07-13        1.000000  100000  \n",
       "  2010-07-14        1.000000  100000  \n",
       "  2010-07-15        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2017-03-16        2.105904  100000  \n",
       "  2017-03-17        2.059494  100000  \n",
       "  2017-03-20        2.046234  100000  \n",
       "  2017-03-21        2.044024  100000  \n",
       "  2017-03-22        2.026344  100000  \n",
       "  2017-03-23        2.035184  100000  \n",
       "  2017-03-24        2.032974  100000  \n",
       "  2017-03-27        2.021924  100000  \n",
       "  2017-03-28        2.017504  100000  \n",
       "  2017-03-29        2.015294  100000  \n",
       "  2017-03-30        2.008664  100000  \n",
       "  2017-03-31        2.028554  100000  \n",
       "  2017-04-05        2.037394  100000  \n",
       "  2017-04-06        2.035184  100000  \n",
       "  2017-04-07        2.035184  100000  \n",
       "  2017-04-10        2.030764  100000  \n",
       "  2017-04-11        2.024134  100000  \n",
       "  2017-04-12        2.017504  100000  \n",
       "  2017-04-13        2.017504  100000  \n",
       "  2017-04-14        2.008664  100000  \n",
       "  2017-04-17        2.013084  100000  \n",
       "  2017-04-18        2.002034  100000  \n",
       "  2017-04-19        1.971094  100000  \n",
       "  2017-04-20        1.973304  100000  \n",
       "  2017-04-21        1.984354  100000  \n",
       "  2017-04-24        1.975514  100000  \n",
       "  2017-04-25        1.990984  100000  \n",
       "  2017-04-26        1.988774  100000  \n",
       "  2017-04-27        1.984354  100000  \n",
       "  2017-04-28        1.988774  100000  \n",
       "  \n",
       "  [1678 rows x 6 columns],\n",
       "  'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2010-06-01  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-02  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-03  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-04  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-07  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-08  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-09  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-10  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-11  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-17  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-18  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-21  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-22  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-23  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-24  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-25  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-28  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-29  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-30  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-01  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-02  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-05  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-06  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-07  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-08  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-09  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-12  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-13  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-14  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-15  100000.000                    0           0.0   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2017-03-16     198.424                    0      210392.0   210590.424   \n",
       "  2017-03-17     198.424                    0      205751.0   205949.424   \n",
       "  2017-03-20     198.424                    0      204425.0   204623.424   \n",
       "  2017-03-21     198.424                    0      204204.0   204402.424   \n",
       "  2017-03-22     198.424                    0      202436.0   202634.424   \n",
       "  2017-03-23     198.424                    0      203320.0   203518.424   \n",
       "  2017-03-24     198.424                    0      203099.0   203297.424   \n",
       "  2017-03-27     198.424                    0      201994.0   202192.424   \n",
       "  2017-03-28     198.424                    0      201552.0   201750.424   \n",
       "  2017-03-29     198.424                    0      201331.0   201529.424   \n",
       "  2017-03-30     198.424                    0      200668.0   200866.424   \n",
       "  2017-03-31     198.424                    0      202657.0   202855.424   \n",
       "  2017-04-05     198.424                    0      203541.0   203739.424   \n",
       "  2017-04-06     198.424                    0      203320.0   203518.424   \n",
       "  2017-04-07     198.424                    0      203320.0   203518.424   \n",
       "  2017-04-10     198.424                    0      202878.0   203076.424   \n",
       "  2017-04-11     198.424                    0      202215.0   202413.424   \n",
       "  2017-04-12     198.424                    0      201552.0   201750.424   \n",
       "  2017-04-13     198.424                    0      201552.0   201750.424   \n",
       "  2017-04-14     198.424                    0      200668.0   200866.424   \n",
       "  2017-04-17     198.424                    0      201110.0   201308.424   \n",
       "  2017-04-18     198.424                    0      200005.0   200203.424   \n",
       "  2017-04-19     198.424                    0      196911.0   197109.424   \n",
       "  2017-04-20     198.424                    0      197132.0   197330.424   \n",
       "  2017-04-21     198.424                    0      198237.0   198435.424   \n",
       "  2017-04-24     198.424                    0      197353.0   197551.424   \n",
       "  2017-04-25     198.424                    0      198900.0   199098.424   \n",
       "  2017-04-26     198.424                    0      198679.0   198877.424   \n",
       "  2017-04-27     198.424                    0      198237.0   198435.424   \n",
       "  2017-04-28     198.424                    0      198679.0   198877.424   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2010-06-01               0.0  \n",
       "  2010-06-02               0.0  \n",
       "  2010-06-03               0.0  \n",
       "  2010-06-04               0.0  \n",
       "  2010-06-07               0.0  \n",
       "  2010-06-08               0.0  \n",
       "  2010-06-09               0.0  \n",
       "  2010-06-10               0.0  \n",
       "  2010-06-11               0.0  \n",
       "  2010-06-17               0.0  \n",
       "  2010-06-18               0.0  \n",
       "  2010-06-21               0.0  \n",
       "  2010-06-22               0.0  \n",
       "  2010-06-23               0.0  \n",
       "  2010-06-24               0.0  \n",
       "  2010-06-25               0.0  \n",
       "  2010-06-28               0.0  \n",
       "  2010-06-29               0.0  \n",
       "  2010-06-30               0.0  \n",
       "  2010-07-01               0.0  \n",
       "  2010-07-02               0.0  \n",
       "  2010-07-05               0.0  \n",
       "  2010-07-06               0.0  \n",
       "  2010-07-07               0.0  \n",
       "  2010-07-08               0.0  \n",
       "  2010-07-09               0.0  \n",
       "  2010-07-12               0.0  \n",
       "  2010-07-13               0.0  \n",
       "  2010-07-14               0.0  \n",
       "  2010-07-15               0.0  \n",
       "  ...                      ...  \n",
       "  2017-03-16               0.0  \n",
       "  2017-03-17               0.0  \n",
       "  2017-03-20               0.0  \n",
       "  2017-03-21               0.0  \n",
       "  2017-03-22               0.0  \n",
       "  2017-03-23               0.0  \n",
       "  2017-03-24               0.0  \n",
       "  2017-03-27               0.0  \n",
       "  2017-03-28               0.0  \n",
       "  2017-03-29               0.0  \n",
       "  2017-03-30               0.0  \n",
       "  2017-03-31               0.0  \n",
       "  2017-04-05               0.0  \n",
       "  2017-04-06               0.0  \n",
       "  2017-04-07               0.0  \n",
       "  2017-04-10               0.0  \n",
       "  2017-04-11               0.0  \n",
       "  2017-04-12               0.0  \n",
       "  2017-04-13               0.0  \n",
       "  2017-04-14               0.0  \n",
       "  2017-04-17               0.0  \n",
       "  2017-04-18               0.0  \n",
       "  2017-04-19               0.0  \n",
       "  2017-04-20               0.0  \n",
       "  2017-04-21               0.0  \n",
       "  2017-04-24               0.0  \n",
       "  2017-04-25               0.0  \n",
       "  2017-04-26               0.0  \n",
       "  2017-04-27               0.0  \n",
       "  2017-04-28               0.0  \n",
       "  \n",
       "  [1678 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2010-10-15      19.15       19.15       99580.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-18      19.15       19.17       99684.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-19      19.15       19.55      101660.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-20      19.15       19.47      101244.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-21      19.15       18.85       98020.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-22      19.15       18.52           0.0   000001.XSHE       0.0   平安银行\n",
       "  2011-03-03      16.40       16.40       95120.0   000001.XSHE    5800.0   平安银行\n",
       "  2011-03-04      16.40       16.68       96744.0   000001.XSHE    5800.0   平安银行\n",
       "  2011-03-07      16.40       16.74       97092.0   000001.XSHE    5800.0   平安银行\n",
       "  2011-03-08      16.40       16.65       96570.0   000001.XSHE    5800.0   平安银行\n",
       "  2011-03-09      16.40       16.69       96802.0   000001.XSHE    5800.0   平安银行\n",
       "  2011-03-10      16.40       16.25       94250.0   000001.XSHE    5800.0   平安银行\n",
       "  2011-03-11      16.40       16.05           0.0   000001.XSHE       0.0   平安银行\n",
       "  2011-04-06      17.00       17.00       93500.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-07      17.00       17.20       94600.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-08      17.00       17.17       94435.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-11      17.00       17.03       93665.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-12      17.00       17.06       93830.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-13      17.00       18.05       99275.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-14      17.00       18.19      100045.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-15      17.00       18.73      103015.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-18      17.00       18.87      103785.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-19      17.00       18.43      101365.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-20      17.00       18.07       99385.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-21      17.00       18.12       99660.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-22      17.00       17.86       98230.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-25      17.00       18.08       99440.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-26      17.00       18.42      101310.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-27      17.00       18.28      100540.0   000001.XSHE    5500.0   平安银行\n",
       "  2011-04-28      17.00       18.62      102410.0   000001.XSHE    5500.0   平安银行\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2017-03-16       8.81        9.52      210392.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-17       8.81        9.31      205751.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-20       8.81        9.25      204425.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-21       8.81        9.24      204204.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-22       8.81        9.16      202436.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-23       8.81        9.20      203320.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-24       8.81        9.19      203099.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-27       8.81        9.14      201994.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-28       8.81        9.12      201552.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-29       8.81        9.11      201331.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-30       8.81        9.08      200668.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-03-31       8.81        9.17      202657.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-05       8.81        9.21      203541.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-06       8.81        9.20      203320.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-07       8.81        9.20      203320.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-10       8.81        9.18      202878.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-11       8.81        9.15      202215.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-12       8.81        9.12      201552.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-13       8.81        9.12      201552.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-14       8.81        9.08      200668.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-17       8.81        9.10      201110.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-18       8.81        9.05      200005.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-19       8.81        8.91      196911.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-20       8.81        8.92      197132.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-21       8.81        8.97      198237.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-24       8.81        8.93      197353.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-25       8.81        9.00      198900.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-26       8.81        8.99      198679.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-27       8.81        8.97      198237.0   000001.XSHE   22100.0   平安银行\n",
       "  2017-04-28       8.81        8.99      198679.0   000001.XSHE   22100.0   平安银行\n",
       "  \n",
       "  [603 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.08,\n",
       "   'annualized_returns': 0.105,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.033,\n",
       "   'benchmark_total_returns': 0.25,\n",
       "   'beta': 0.216,\n",
       "   'cash': 198.424,\n",
       "   'downside_risk': 0.159,\n",
       "   'end_date': '2017-04-28',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': 0.215,\n",
       "   'max_drawdown': 0.23,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.504,\n",
       "   'sortino': 0.546,\n",
       "   'start_date': '2010-06-01',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 0.989,\n",
       "   'total_value': 198877.424,\n",
       "   'tracking_error': 0.249,\n",
       "   'unit_net_value': 1.989,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.172},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2010-10-15 15:00:00    79.66400  1497520696       19.15         5200.0   \n",
       "  2010-10-22 15:00:00    77.04320  1497520697       18.52         5200.0   \n",
       "  2011-03-03 15:00:00    76.09600  1497520698       16.40         5800.0   \n",
       "  2011-03-11 15:00:00    74.47200  1497520699       16.05         5800.0   \n",
       "  2011-04-06 15:00:00    74.80000  1497520700       17.00         5500.0   \n",
       "  2011-05-16 15:00:00    75.46000  1497520701       17.15         5500.0   \n",
       "  2011-07-04 15:00:00    75.81600  1497520702       17.55         5400.0   \n",
       "  2011-07-12 15:00:00    73.44000  1497520703       17.00         5400.0   \n",
       "  2011-10-28 15:00:00    72.20720  1497520704       17.03         5300.0   \n",
       "  2011-11-11 15:00:00    70.25680  1497520705       16.57         5300.0   \n",
       "  2012-01-20 15:00:00    69.80480  1497520706       16.78         5200.0   \n",
       "  2012-03-15 15:00:00    67.60000  1497520707       16.25         5200.0   \n",
       "  2012-04-20 15:00:00    67.64640  1497520708       16.58         5100.0   \n",
       "  2012-05-09 15:00:00    65.93280  1497520709       16.16         5100.0   \n",
       "  2012-11-05 15:00:00    66.41680  1497520710       13.61         6100.0   \n",
       "  2012-11-15 15:00:00    64.17200  1497520711       13.15         6100.0   \n",
       "  2012-12-07 15:00:00    63.93120  1497520712       14.02         5700.0   \n",
       "  2013-02-07 15:00:00    95.07600  1497520713       20.85         5700.0   \n",
       "  2013-02-28 15:00:00    93.84000  1497520714       23.00         5100.0   \n",
       "  2013-03-04 15:00:00    88.74000  1497520715       21.75         5100.0   \n",
       "  2013-08-13 15:00:00    89.88000  1497520716       10.50        10700.0   \n",
       "  2013-08-15 15:00:00    87.31200  1497520717       10.20        10700.0   \n",
       "  2013-08-16 15:00:00    87.17920  1497520718       10.58        10300.0   \n",
       "  2013-09-24 15:00:00   101.10480  1497520719       12.27        10300.0   \n",
       "  2013-10-25 15:00:00    99.91920  1497520720       13.43         9300.0   \n",
       "  2013-10-28 15:00:00    97.68720  1497520721       13.13         9300.0   \n",
       "  2013-10-29 15:00:00    98.27520  1497520722       14.12         8700.0   \n",
       "  2013-11-04 15:00:00    94.37760  1497520723       13.56         8700.0   \n",
       "  2014-02-11 15:00:00    94.08000  1497520724       12.00         9800.0   \n",
       "  2014-02-18 15:00:00    91.41440  1497520725       11.66         9800.0   \n",
       "  2014-04-08 15:00:00    91.14240  1497520726       11.28        10100.0   \n",
       "  2014-04-15 15:00:00    88.63760  1497520727       10.97        10100.0   \n",
       "  2014-05-23 15:00:00    88.00800  1497520728       11.58         9500.0   \n",
       "  2014-06-04 15:00:00    86.10800  1497520729       11.33         9500.0   \n",
       "  2014-06-10 15:00:00    86.48000  1497520730       11.75         9200.0   \n",
       "  2014-06-13 15:00:00     5.00000  1497520731       10.12          100.0   \n",
       "  2014-12-11 15:00:00   124.05504  1497520732       13.92        11140.0   \n",
       "  2015-03-12 15:00:00   123.80800  1497520733       14.60        10600.0   \n",
       "  2015-04-23 15:00:00   169.53216  1497520734       16.66        12720.0   \n",
       "  2015-06-08 15:00:00   170.13360  1497520735       17.29        12300.0   \n",
       "  2015-06-10 15:00:00   164.13120  1497520736       16.68        12300.0   \n",
       "  2015-11-04 15:00:00   163.66000  1497520737       11.69        17500.0   \n",
       "  2015-11-27 15:00:00   164.22000  1497520738       11.73        17500.0   \n",
       "  2016-03-04 15:00:00   163.90400  1497520739       10.40        19700.0   \n",
       "  2016-03-09 15:00:00   160.27920  1497520740       10.17        19700.0   \n",
       "  2016-03-21 15:00:00   159.84000  1497520741       10.80        18500.0   \n",
       "  2016-03-24 15:00:00   155.69600  1497520742       10.52        18500.0   \n",
       "  2016-07-04 15:00:00   155.76080  1497520743        8.81        22100.0   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2010-10-15 15:00:00   000001.XSHE  1497520947            None   BUY   平安银行   \n",
       "  2010-10-22 15:00:00   000001.XSHE  1497520948            None  SELL   平安银行   \n",
       "  2011-03-03 15:00:00   000001.XSHE  1497520949            None   BUY   平安银行   \n",
       "  2011-03-11 15:00:00   000001.XSHE  1497520950            None  SELL   平安银行   \n",
       "  2011-04-06 15:00:00   000001.XSHE  1497520951            None   BUY   平安银行   \n",
       "  2011-05-16 15:00:00   000001.XSHE  1497520953            None  SELL   平安银行   \n",
       "  2011-07-04 15:00:00   000001.XSHE  1497520954            None   BUY   平安银行   \n",
       "  2011-07-12 15:00:00   000001.XSHE  1497520955            None  SELL   平安银行   \n",
       "  2011-10-28 15:00:00   000001.XSHE  1497520956            None   BUY   平安银行   \n",
       "  2011-11-11 15:00:00   000001.XSHE  1497520957            None  SELL   平安银行   \n",
       "  2012-01-20 15:00:00   000001.XSHE  1497520958            None   BUY   平安银行   \n",
       "  2012-03-15 15:00:00   000001.XSHE  1497520962            None  SELL   平安银行   \n",
       "  2012-04-20 15:00:00   000001.XSHE  1497520963            None   BUY   平安银行   \n",
       "  2012-05-09 15:00:00   000001.XSHE  1497520965            None  SELL   平安银行   \n",
       "  2012-11-05 15:00:00   000001.XSHE  1497520966            None   BUY   平安银行   \n",
       "  2012-11-15 15:00:00   000001.XSHE  1497520967            None  SELL   平安银行   \n",
       "  2012-12-07 15:00:00   000001.XSHE  1497520968            None   BUY   平安银行   \n",
       "  2013-02-07 15:00:00   000001.XSHE  1497520972            None  SELL   平安银行   \n",
       "  2013-02-28 15:00:00   000001.XSHE  1497520973            None   BUY   平安银行   \n",
       "  2013-03-04 15:00:00   000001.XSHE  1497520974            None  SELL   平安银行   \n",
       "  2013-08-13 15:00:00   000001.XSHE  1497520976            None   BUY   平安银行   \n",
       "  2013-08-15 15:00:00   000001.XSHE  1497520977            None  SELL   平安银行   \n",
       "  2013-08-16 15:00:00   000001.XSHE  1497520978            None   BUY   平安银行   \n",
       "  2013-09-24 15:00:00   000001.XSHE  1497520980            None  SELL   平安银行   \n",
       "  2013-10-25 15:00:00   000001.XSHE  1497520981            None   BUY   平安银行   \n",
       "  2013-10-28 15:00:00   000001.XSHE  1497520982            None  SELL   平安银行   \n",
       "  2013-10-29 15:00:00   000001.XSHE  1497520983            None   BUY   平安银行   \n",
       "  2013-11-04 15:00:00   000001.XSHE  1497520984            None  SELL   平安银行   \n",
       "  2014-02-11 15:00:00   000001.XSHE  1497520985            None   BUY   平安银行   \n",
       "  2014-02-18 15:00:00   000001.XSHE  1497520987            None  SELL   平安银行   \n",
       "  2014-04-08 15:00:00   000001.XSHE  1497520988            None   BUY   平安银行   \n",
       "  2014-04-15 15:00:00   000001.XSHE  1497520990            None  SELL   平安银行   \n",
       "  2014-05-23 15:00:00   000001.XSHE  1497520991            None   BUY   平安银行   \n",
       "  2014-06-04 15:00:00   000001.XSHE  1497520992            None  SELL   平安银行   \n",
       "  2014-06-10 15:00:00   000001.XSHE  1497520993            None   BUY   平安银行   \n",
       "  2014-06-13 15:00:00   000001.XSHE  1497520994            None   BUY   平安银行   \n",
       "  2014-12-11 15:00:00   000001.XSHE  1497520998            None  SELL   平安银行   \n",
       "  2015-03-12 15:00:00   000001.XSHE  1497520999            None   BUY   平安银行   \n",
       "  2015-04-23 15:00:00   000001.XSHE  1497521001            None  SELL   平安银行   \n",
       "  2015-06-08 15:00:00   000001.XSHE  1497521002            None   BUY   平安银行   \n",
       "  2015-06-10 15:00:00   000001.XSHE  1497521003            None  SELL   平安银行   \n",
       "  2015-11-04 15:00:00   000001.XSHE  1497521004            None   BUY   平安银行   \n",
       "  2015-11-27 15:00:00   000001.XSHE  1497521005            None  SELL   平安银行   \n",
       "  2016-03-04 15:00:00   000001.XSHE  1497521006            None   BUY   平安银行   \n",
       "  2016-03-09 15:00:00   000001.XSHE  1497521007            None  SELL   平安银行   \n",
       "  2016-03-21 15:00:00   000001.XSHE  1497521008            None   BUY   平安银行   \n",
       "  2016-03-24 15:00:00   000001.XSHE  1497521009            None  SELL   平安银行   \n",
       "  2016-07-04 15:00:00   000001.XSHE  1497521010            None   BUY   平安银行   \n",
       "  \n",
       "                            tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                              \n",
       "  2010-10-15 15:00:00    0.0000  2010-10-15 15:00:00          79.66400  \n",
       "  2010-10-22 15:00:00   96.3040  2010-10-22 15:00:00         173.34720  \n",
       "  2011-03-03 15:00:00    0.0000  2011-03-03 15:00:00          76.09600  \n",
       "  2011-03-11 15:00:00   93.0900  2011-03-11 15:00:00         167.56200  \n",
       "  2011-04-06 15:00:00    0.0000  2011-04-06 15:00:00          74.80000  \n",
       "  2011-05-16 15:00:00   94.3250  2011-05-16 15:00:00         169.78500  \n",
       "  2011-07-04 15:00:00    0.0000  2011-07-04 15:00:00          75.81600  \n",
       "  2011-07-12 15:00:00   91.8000  2011-07-12 15:00:00         165.24000  \n",
       "  2011-10-28 15:00:00    0.0000  2011-10-28 15:00:00          72.20720  \n",
       "  2011-11-11 15:00:00   87.8210  2011-11-11 15:00:00         158.07780  \n",
       "  2012-01-20 15:00:00    0.0000  2012-01-20 15:00:00          69.80480  \n",
       "  2012-03-15 15:00:00   84.5000  2012-03-15 15:00:00         152.10000  \n",
       "  2012-04-20 15:00:00    0.0000  2012-04-20 15:00:00          67.64640  \n",
       "  2012-05-09 15:00:00   82.4160  2012-05-09 15:00:00         148.34880  \n",
       "  2012-11-05 15:00:00    0.0000  2012-11-05 15:00:00          66.41680  \n",
       "  2012-11-15 15:00:00   80.2150  2012-11-15 15:00:00         144.38700  \n",
       "  2012-12-07 15:00:00    0.0000  2012-12-07 15:00:00          63.93120  \n",
       "  2013-02-07 15:00:00  118.8450  2013-02-07 15:00:00         213.92100  \n",
       "  2013-02-28 15:00:00    0.0000  2013-02-28 15:00:00          93.84000  \n",
       "  2013-03-04 15:00:00  110.9250  2013-03-04 15:00:00         199.66500  \n",
       "  2013-08-13 15:00:00    0.0000  2013-08-13 15:00:00          89.88000  \n",
       "  2013-08-15 15:00:00  109.1400  2013-08-15 15:00:00         196.45200  \n",
       "  2013-08-16 15:00:00    0.0000  2013-08-16 15:00:00          87.17920  \n",
       "  2013-09-24 15:00:00  126.3810  2013-09-24 15:00:00         227.48580  \n",
       "  2013-10-25 15:00:00    0.0000  2013-10-25 15:00:00          99.91920  \n",
       "  2013-10-28 15:00:00  122.1090  2013-10-28 15:00:00         219.79620  \n",
       "  2013-10-29 15:00:00    0.0000  2013-10-29 15:00:00          98.27520  \n",
       "  2013-11-04 15:00:00  117.9720  2013-11-04 15:00:00         212.34960  \n",
       "  2014-02-11 15:00:00    0.0000  2014-02-11 15:00:00          94.08000  \n",
       "  2014-02-18 15:00:00  114.2680  2014-02-18 15:00:00         205.68240  \n",
       "  2014-04-08 15:00:00    0.0000  2014-04-08 15:00:00          91.14240  \n",
       "  2014-04-15 15:00:00  110.7970  2014-04-15 15:00:00         199.43460  \n",
       "  2014-05-23 15:00:00    0.0000  2014-05-23 15:00:00          88.00800  \n",
       "  2014-06-04 15:00:00  107.6350  2014-06-04 15:00:00         193.74300  \n",
       "  2014-06-10 15:00:00    0.0000  2014-06-10 15:00:00          86.48000  \n",
       "  2014-06-13 15:00:00    0.0000  2014-06-13 15:00:00           5.00000  \n",
       "  2014-12-11 15:00:00  155.0688  2014-12-11 15:00:00         279.12384  \n",
       "  2015-03-12 15:00:00    0.0000  2015-03-12 15:00:00         123.80800  \n",
       "  2015-04-23 15:00:00  211.9152  2015-04-23 15:00:00         381.44736  \n",
       "  2015-06-08 15:00:00    0.0000  2015-06-08 15:00:00         170.13360  \n",
       "  2015-06-10 15:00:00  205.1640  2015-06-10 15:00:00         369.29520  \n",
       "  2015-11-04 15:00:00    0.0000  2015-11-04 15:00:00         163.66000  \n",
       "  2015-11-27 15:00:00  205.2750  2015-11-27 15:00:00         369.49500  \n",
       "  2016-03-04 15:00:00    0.0000  2016-03-04 15:00:00         163.90400  \n",
       "  2016-03-09 15:00:00  200.3490  2016-03-09 15:00:00         360.62820  \n",
       "  2016-03-21 15:00:00    0.0000  2016-03-21 15:00:00         159.84000  \n",
       "  2016-03-24 15:00:00  194.6200  2016-03-24 15:00:00         350.31600  \n",
       "  2016-07-04 15:00:00    0.0000  2016-07-04 15:00:00         155.76080  }}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.PERIOD = 20\n",
    "    context.stoploss = 0.98 #止损\n",
    "    context.takepofit = 2 #止盈\n",
    "    \n",
    "def stop_loss(context,bar_dict):\n",
    "    for stock in context.portfolio.positions:\n",
    "        if bar_dict[stock].last<context.portfolio.positions[stock].avg_price*context.stoploss:# 现价低于原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "        elif bar_dict[stock].last>context.portfolio.positions[stock].avg_price*context.takepofit:# 现价高于原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    stop_loss(context, bar_dict)\n",
    "    prices = history_bars(context.s1, context.PERIOD+2, '1d', 'close')\n",
    "    upperband, middleband, lowerband = talib.BBANDS(prices, context.PERIOD)\n",
    "    sigma = (upperband[-1]-prices[-1])/(2*prices[-1])\n",
    "\n",
    "\n",
    "    cur_position = context.portfolio.positions[context.s1].quantity\n",
    "    shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "\n",
    "    if sigma>0.05 and cur_position > 0:\n",
    "        order_target_value(context.s1, 0)\n",
    "\n",
    "    if prices[-2]<=upperband[-2] and prices[-1]>=upperband[-1] and sigma<0.005:\n",
    "        order_shares(context.s1, shares)\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2010-06-01\",\n",
    "    \"end_date\": \"2017-05-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QIz4o2v9+JNlUqUJceDgPz52hdN16uveNVCqqfzII9fPntPjhR4pVfo9aI0dRbaAHtnXq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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25e887320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':                cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                    \n",
       "  2010-06-01  1210.24      98789.76                  1.000    100000.00   \n",
       "  2010-06-02  1210.24      99271.08                  1.000    100481.32   \n",
       "  2010-06-03  1210.24      98498.88                  1.005     99709.12   \n",
       "  2010-06-04  1210.24      98798.04                  0.997    100008.28   \n",
       "  2010-06-07  1210.24      97045.92                  1.000     98256.16   \n",
       "  2010-06-08  1210.24      97176.24                  0.983     98386.48   \n",
       "  2010-06-09  1210.24     100156.68                  0.984    101366.92   \n",
       "  2010-06-10  1210.24      99000.72                  1.014    100210.96   \n",
       "  2010-06-11  1210.24      99319.32                  1.002    100529.56   \n",
       "  2010-06-17  1210.24      98738.28                  1.005     99948.52   \n",
       "  2010-06-18  1210.24      97062.12                  0.999     98272.36   \n",
       "  2010-06-21  1210.24     100103.76                  0.983    101314.00   \n",
       "  2010-06-22  1210.24     100213.92                  1.013    101424.16   \n",
       "  2010-06-23  1210.24      99306.00                  1.014    100516.24   \n",
       "  2010-06-24  1210.24      99270.00                  1.005    100480.24   \n",
       "  2010-06-25  1210.24      98506.44                  1.005     99716.68   \n",
       "  2010-06-28  1210.24      97804.08                  0.997     99014.32   \n",
       "  2010-06-29  1210.24      93312.72                  0.990     94522.96   \n",
       "  2010-06-30  1210.24      92270.52                  0.945     93480.76   \n",
       "  2010-07-01  1210.24      90938.52                  0.935     92148.76   \n",
       "  2010-07-02  1210.24      91227.60                  0.921     92437.84   \n",
       "  2010-07-05  1210.24      90455.40                  0.924     91665.64   \n",
       "  2010-07-06  1210.24      92264.40                  0.917     93474.64   \n",
       "  2010-07-07  1210.24      92897.28                  0.935     94107.52   \n",
       "  2010-07-08  1210.24      92733.12                  0.941     93943.36   \n",
       "  2010-07-09  1210.24      95295.60                  0.939     96505.84   \n",
       "  2010-07-12  1210.24      96343.92                  0.965     97554.16   \n",
       "  2010-07-13  1210.24      94845.24                  0.976     96055.48   \n",
       "  2010-07-14  1210.24      95529.96                  0.961     96740.20   \n",
       "  2010-07-15  1210.24      93906.72                  0.967     95116.96   \n",
       "  ...             ...           ...                    ...          ...   \n",
       "  2017-03-16  1210.24     125334.36                  1.259    126544.60   \n",
       "  2017-03-17  1210.24     124049.16                  1.265    125259.40   \n",
       "  2017-03-20  1210.24     124185.96                  1.253    125396.20   \n",
       "  2017-03-21  1210.24     124788.60                  1.254    125998.84   \n",
       "  2017-03-22  1210.24     124201.80                  1.260    125412.04   \n",
       "  2017-03-23  1210.24     124631.28                  1.254    125841.52   \n",
       "  2017-03-24  1210.24     125625.60                  1.258    126835.84   \n",
       "  2017-03-27  1210.24     125209.44                  1.268    126419.68   \n",
       "  2017-03-28  1210.24     124913.16                  1.264    126123.40   \n",
       "  2017-03-29  1210.24     124746.84                  1.261    125957.08   \n",
       "  2017-03-30  1210.24     123723.36                  1.260    124933.60   \n",
       "  2017-03-31  1210.24     124417.80                  1.249    125628.04   \n",
       "  2017-04-05  1210.24     126140.04                  1.256    127350.28   \n",
       "  2017-04-06  1210.24     126505.80                  1.274    127716.04   \n",
       "  2017-04-07  1210.24     126628.56                  1.277    127838.80   \n",
       "  2017-04-10  1210.24     126185.04                  1.278    127395.28   \n",
       "  2017-04-11  1210.24     126623.88                  1.274    127834.12   \n",
       "  2017-04-12  1210.24     126339.84                  1.278    127550.08   \n",
       "  2017-04-13  1210.24     126524.52                  1.276    127734.76   \n",
       "  2017-04-14  1210.24     125514.00                  1.277    126724.24   \n",
       "  2017-04-17  1210.24     125277.84                  1.267    126488.08   \n",
       "  2017-04-18  1210.24     124658.64                  1.265    125868.88   \n",
       "  2017-04-19  1210.24     124051.68                  1.259    125261.92   \n",
       "  2017-04-20  1210.24     124615.80                  1.253    125826.04   \n",
       "  2017-04-21  1210.24     124804.44                  1.258    126014.68   \n",
       "  2017-04-24  1210.24     123525.36                  1.260    124735.60   \n",
       "  2017-04-25  1210.24     123874.92                  1.247    125085.16   \n",
       "  2017-04-26  1210.24     124026.48                  1.251    125236.72   \n",
       "  2017-04-27  1210.24     124081.92                  1.252    125292.16   \n",
       "  2017-04-28  1210.24     123831.00                  1.253    125041.24   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2010-06-01        1.000000  100000  \n",
       "  2010-06-02        1.004813  100000  \n",
       "  2010-06-03        0.997091  100000  \n",
       "  2010-06-04        1.000083  100000  \n",
       "  2010-06-07        0.982562  100000  \n",
       "  2010-06-08        0.983865  100000  \n",
       "  2010-06-09        1.013669  100000  \n",
       "  2010-06-10        1.002110  100000  \n",
       "  2010-06-11        1.005296  100000  \n",
       "  2010-06-17        0.999485  100000  \n",
       "  2010-06-18        0.982724  100000  \n",
       "  2010-06-21        1.013140  100000  \n",
       "  2010-06-22        1.014242  100000  \n",
       "  2010-06-23        1.005162  100000  \n",
       "  2010-06-24        1.004802  100000  \n",
       "  2010-06-25        0.997167  100000  \n",
       "  2010-06-28        0.990143  100000  \n",
       "  2010-06-29        0.945230  100000  \n",
       "  2010-06-30        0.934808  100000  \n",
       "  2010-07-01        0.921488  100000  \n",
       "  2010-07-02        0.924378  100000  \n",
       "  2010-07-05        0.916656  100000  \n",
       "  2010-07-06        0.934746  100000  \n",
       "  2010-07-07        0.941075  100000  \n",
       "  2010-07-08        0.939434  100000  \n",
       "  2010-07-09        0.965058  100000  \n",
       "  2010-07-12        0.975542  100000  \n",
       "  2010-07-13        0.960555  100000  \n",
       "  2010-07-14        0.967402  100000  \n",
       "  2010-07-15        0.951170  100000  \n",
       "  ...                    ...     ...  \n",
       "  2017-03-16        1.265446  100000  \n",
       "  2017-03-17        1.252594  100000  \n",
       "  2017-03-20        1.253962  100000  \n",
       "  2017-03-21        1.259988  100000  \n",
       "  2017-03-22        1.254120  100000  \n",
       "  2017-03-23        1.258415  100000  \n",
       "  2017-03-24        1.268358  100000  \n",
       "  2017-03-27        1.264197  100000  \n",
       "  2017-03-28        1.261234  100000  \n",
       "  2017-03-29        1.259571  100000  \n",
       "  2017-03-30        1.249336  100000  \n",
       "  2017-03-31        1.256280  100000  \n",
       "  2017-04-05        1.273503  100000  \n",
       "  2017-04-06        1.277160  100000  \n",
       "  2017-04-07        1.278388  100000  \n",
       "  2017-04-10        1.273953  100000  \n",
       "  2017-04-11        1.278341  100000  \n",
       "  2017-04-12        1.275501  100000  \n",
       "  2017-04-13        1.277348  100000  \n",
       "  2017-04-14        1.267242  100000  \n",
       "  2017-04-17        1.264881  100000  \n",
       "  2017-04-18        1.258689  100000  \n",
       "  2017-04-19        1.252619  100000  \n",
       "  2017-04-20        1.258260  100000  \n",
       "  2017-04-21        1.260147  100000  \n",
       "  2017-04-24        1.247356  100000  \n",
       "  2017-04-25        1.250852  100000  \n",
       "  2017-04-26        1.252367  100000  \n",
       "  2017-04-27        1.252922  100000  \n",
       "  2017-04-28        1.250412  100000  \n",
       "  \n",
       "  [1678 rows x 6 columns],\n",
       "  'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2010-06-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-08  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-09  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-22  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-23  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-24  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-25  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-28  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-29  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-06-30  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-05  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-06  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-08  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-09  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-12  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-13  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-14  100000.000           0.0                  1.000   100000.000   \n",
       "  2010-07-15  100000.000           0.0                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2017-03-16     534.628      233240.0                  2.328   233774.628   \n",
       "  2017-03-17  228219.057           0.0                  2.338   228219.057   \n",
       "  2017-03-20  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-21  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-22  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-23  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-24  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-27  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-28  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-29  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-30  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-03-31  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-05  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-06  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-07  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-10  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-11  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-12  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-13  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-14  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-17  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-18  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-19  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-20  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-21  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-24  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-25  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-26  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-27  228219.057           0.0                  2.282   228219.057   \n",
       "  2017-04-28  228219.057           0.0                  2.282   228219.057   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2010-06-01        1.000000  100000  \n",
       "  2010-06-02        1.000000  100000  \n",
       "  2010-06-03        1.000000  100000  \n",
       "  2010-06-04        1.000000  100000  \n",
       "  2010-06-07        1.000000  100000  \n",
       "  2010-06-08        1.000000  100000  \n",
       "  2010-06-09        1.000000  100000  \n",
       "  2010-06-10        1.000000  100000  \n",
       "  2010-06-11        1.000000  100000  \n",
       "  2010-06-17        1.000000  100000  \n",
       "  2010-06-18        1.000000  100000  \n",
       "  2010-06-21        1.000000  100000  \n",
       "  2010-06-22        1.000000  100000  \n",
       "  2010-06-23        1.000000  100000  \n",
       "  2010-06-24        1.000000  100000  \n",
       "  2010-06-25        1.000000  100000  \n",
       "  2010-06-28        1.000000  100000  \n",
       "  2010-06-29        1.000000  100000  \n",
       "  2010-06-30        1.000000  100000  \n",
       "  2010-07-01        1.000000  100000  \n",
       "  2010-07-02        1.000000  100000  \n",
       "  2010-07-05        1.000000  100000  \n",
       "  2010-07-06        1.000000  100000  \n",
       "  2010-07-07        1.000000  100000  \n",
       "  2010-07-08        1.000000  100000  \n",
       "  2010-07-09        1.000000  100000  \n",
       "  2010-07-12        1.000000  100000  \n",
       "  2010-07-13        1.000000  100000  \n",
       "  2010-07-14        1.000000  100000  \n",
       "  2010-07-15        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2017-03-16        2.337746  100000  \n",
       "  2017-03-17        2.282191  100000  \n",
       "  2017-03-20        2.282191  100000  \n",
       "  2017-03-21        2.282191  100000  \n",
       "  2017-03-22        2.282191  100000  \n",
       "  2017-03-23        2.282191  100000  \n",
       "  2017-03-24        2.282191  100000  \n",
       "  2017-03-27        2.282191  100000  \n",
       "  2017-03-28        2.282191  100000  \n",
       "  2017-03-29        2.282191  100000  \n",
       "  2017-03-30        2.282191  100000  \n",
       "  2017-03-31        2.282191  100000  \n",
       "  2017-04-05        2.282191  100000  \n",
       "  2017-04-06        2.282191  100000  \n",
       "  2017-04-07        2.282191  100000  \n",
       "  2017-04-10        2.282191  100000  \n",
       "  2017-04-11        2.282191  100000  \n",
       "  2017-04-12        2.282191  100000  \n",
       "  2017-04-13        2.282191  100000  \n",
       "  2017-04-14        2.282191  100000  \n",
       "  2017-04-17        2.282191  100000  \n",
       "  2017-04-18        2.282191  100000  \n",
       "  2017-04-19        2.282191  100000  \n",
       "  2017-04-20        2.282191  100000  \n",
       "  2017-04-21        2.282191  100000  \n",
       "  2017-04-24        2.282191  100000  \n",
       "  2017-04-25        2.282191  100000  \n",
       "  2017-04-26        2.282191  100000  \n",
       "  2017-04-27        2.282191  100000  \n",
       "  2017-04-28        2.282191  100000  \n",
       "  \n",
       "  [1678 rows x 6 columns],\n",
       "  'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2010-06-01  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-02  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-03  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-04  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-07  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-08  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-09  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-10  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-11  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-17  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-18  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-21  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-22  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-23  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-24  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-25  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-28  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-29  100000.000                    0           0.0   100000.000   \n",
       "  2010-06-30  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-01  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-02  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-05  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-06  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-07  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-08  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-09  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-12  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-13  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-14  100000.000                    0           0.0   100000.000   \n",
       "  2010-07-15  100000.000                    0           0.0   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2017-03-16     534.628                    0      233240.0   233774.628   \n",
       "  2017-03-17  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-20  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-21  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-22  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-23  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-24  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-27  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-28  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-29  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-30  228219.057                    0           0.0   228219.057   \n",
       "  2017-03-31  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-05  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-06  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-07  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-10  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-11  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-12  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-13  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-14  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-17  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-18  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-19  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-20  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-21  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-24  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-25  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-26  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-27  228219.057                    0           0.0   228219.057   \n",
       "  2017-04-28  228219.057                    0           0.0   228219.057   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2010-06-01             0.000  \n",
       "  2010-06-02             0.000  \n",
       "  2010-06-03             0.000  \n",
       "  2010-06-04             0.000  \n",
       "  2010-06-07             0.000  \n",
       "  2010-06-08             0.000  \n",
       "  2010-06-09             0.000  \n",
       "  2010-06-10             0.000  \n",
       "  2010-06-11             0.000  \n",
       "  2010-06-17             0.000  \n",
       "  2010-06-18             0.000  \n",
       "  2010-06-21             0.000  \n",
       "  2010-06-22             0.000  \n",
       "  2010-06-23             0.000  \n",
       "  2010-06-24             0.000  \n",
       "  2010-06-25             0.000  \n",
       "  2010-06-28             0.000  \n",
       "  2010-06-29             0.000  \n",
       "  2010-06-30             0.000  \n",
       "  2010-07-01             0.000  \n",
       "  2010-07-02             0.000  \n",
       "  2010-07-05             0.000  \n",
       "  2010-07-06             0.000  \n",
       "  2010-07-07             0.000  \n",
       "  2010-07-08             0.000  \n",
       "  2010-07-09             0.000  \n",
       "  2010-07-12             0.000  \n",
       "  2010-07-13             0.000  \n",
       "  2010-07-14             0.000  \n",
       "  2010-07-15             0.000  \n",
       "  ...                      ...  \n",
       "  2017-03-16             0.000  \n",
       "  2017-03-17           410.571  \n",
       "  2017-03-20             0.000  \n",
       "  2017-03-21             0.000  \n",
       "  2017-03-22             0.000  \n",
       "  2017-03-23             0.000  \n",
       "  2017-03-24             0.000  \n",
       "  2017-03-27             0.000  \n",
       "  2017-03-28             0.000  \n",
       "  2017-03-29             0.000  \n",
       "  2017-03-30             0.000  \n",
       "  2017-03-31             0.000  \n",
       "  2017-04-05             0.000  \n",
       "  2017-04-06             0.000  \n",
       "  2017-04-07             0.000  \n",
       "  2017-04-10             0.000  \n",
       "  2017-04-11             0.000  \n",
       "  2017-04-12             0.000  \n",
       "  2017-04-13             0.000  \n",
       "  2017-04-14             0.000  \n",
       "  2017-04-17             0.000  \n",
       "  2017-04-18             0.000  \n",
       "  2017-04-19             0.000  \n",
       "  2017-04-20             0.000  \n",
       "  2017-04-21             0.000  \n",
       "  2017-04-24             0.000  \n",
       "  2017-04-25             0.000  \n",
       "  2017-04-26             0.000  \n",
       "  2017-04-27             0.000  \n",
       "  2017-04-28             0.000  \n",
       "  \n",
       "  [1678 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2010-10-15      19.15       19.15       99580.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-18      19.15       19.17       99684.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-19      19.15       19.55      101660.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-20      19.15       19.47      101244.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-21      19.15       18.85       98020.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-22      19.15       18.52       96304.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-25      19.15       18.91       98332.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-26      19.15       18.66       97032.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-27      19.15       18.56       96512.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-28      19.15       18.77       97604.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-10-29      19.15       18.41       95732.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-01      19.15       18.57       96564.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-02      19.15       18.66       97032.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-03      19.15       19.05       99060.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-04      19.15       18.92       98384.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-05      19.15       18.93       98436.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-08      19.15       19.14       99528.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-09      19.15       18.65       96980.0   000001.XSHE    5200.0   平安银行\n",
       "  2010-11-10      19.15       18.13           0.0   000001.XSHE       0.0   平安银行\n",
       "  2011-03-03      16.40       16.40       93480.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-04      16.40       16.68       95076.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-07      16.40       16.74       95418.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-08      16.40       16.65       94905.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-09      16.40       16.69       95133.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-10      16.40       16.25       92625.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-11      16.40       16.05       91485.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-14      16.40       16.17       92169.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-15      16.40       15.84       90288.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-16      16.40       15.95       90915.0   000001.XSHE    5700.0   平安银行\n",
       "  2011-03-17      16.40       15.71           0.0   000001.XSHE       0.0   平安银行\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2017-02-06       9.22        9.31      228095.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-07       9.22        9.30      227850.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-08       9.22        9.30      227850.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-09       9.22        9.31      228095.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-10       9.22        9.33      228585.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-13       9.22        9.41      230545.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-14       9.22        9.40      230300.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-15       9.22        9.45      231525.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-16       9.22        9.46      231770.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-17       9.22        9.39      230055.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-20       9.22        9.56      234220.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-21       9.22        9.57      234465.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-22       9.22        9.57      234465.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-23       9.22        9.51      232995.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-24       9.22        9.50      232750.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-27       9.22        9.43      231035.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-02-28       9.22        9.48      232260.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-01       9.22        9.49      232505.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-02       9.22        9.43      231035.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-03       9.22        9.40      230300.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-06       9.22        9.45      231525.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-07       9.22        9.45      231525.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-08       9.22        9.42      230790.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-09       9.22        9.38      229810.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-10       9.22        9.40      230300.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-13       9.22        9.44      231280.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-14       9.22        9.44      231280.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-15       9.22        9.48      232260.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-16       9.22        9.52      233240.0   000001.XSHE   24500.0   平安银行\n",
       "  2017-03-17       9.22        9.31           0.0   000001.XSHE       0.0   平安银行\n",
       "  \n",
       "  [622 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.103,\n",
       "   'annualized_returns': 0.127,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.033,\n",
       "   'benchmark_total_returns': 0.25,\n",
       "   'beta': 0.319,\n",
       "   'cash': 228219.057,\n",
       "   'downside_risk': 0.159,\n",
       "   'end_date': '2017-04-28',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': 0.317,\n",
       "   'max_drawdown': 0.223,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.544,\n",
       "   'sortino': 0.718,\n",
       "   'start_date': '2010-06-01',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 1.282,\n",
       "   'total_value': 228219.057,\n",
       "   'tracking_error': 0.254,\n",
       "   'unit_net_value': 2.282,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.21},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2010-10-15 15:00:00    79.66400  1497521099       19.15         5200.0   \n",
       "  2010-11-10 15:00:00    75.42080  1497521100       18.13         5200.0   \n",
       "  2011-03-03 15:00:00    74.78400  1497521101       16.40         5700.0   \n",
       "  2011-03-17 15:00:00    71.63760  1497521102       15.71         5700.0   \n",
       "  2011-04-06 15:00:00    72.08000  1497521103       17.00         5300.0   \n",
       "  2011-05-19 15:00:00    76.02320  1497521104       17.93         5300.0   \n",
       "  2011-07-04 15:00:00    75.81600  1497521105       17.55         5400.0   \n",
       "  2011-07-25 15:00:00    72.87840  1497521106       16.87         5400.0   \n",
       "  2011-10-28 15:00:00    72.20720  1497521107       17.03         5300.0   \n",
       "  2011-11-16 15:00:00    67.96720  1497521108       16.03         5300.0   \n",
       "  2012-01-20 15:00:00    67.12000  1497521109       16.78         5000.0   \n",
       "  2012-03-09 15:00:00    67.48000  1497521110       16.87         5000.0   \n",
       "  2012-04-20 15:00:00    67.64640  1497521111       16.58         5100.0   \n",
       "  2012-05-14 15:00:00    65.03520  1497521112       15.94         5100.0   \n",
       "  2012-11-05 15:00:00    65.32800  1497521113       13.61         6000.0   \n",
       "  2012-11-15 15:00:00    63.12000  1497521114       13.15         6000.0   \n",
       "  2012-12-07 15:00:00    62.80960  1497521115       14.02         5600.0   \n",
       "  2013-03-12 15:00:00    97.30560  1497521116       21.72         5600.0   \n",
       "  2013-08-13 15:00:00    97.44000  1497521117       10.50        11600.0   \n",
       "  2013-10-16 15:00:00   111.45280  1497521118       12.01        11600.0   \n",
       "  2013-10-25 15:00:00   110.66320  1497521119       13.43        10300.0   \n",
       "  2013-11-26 15:00:00   110.99280  1497521120       13.47        10300.0   \n",
       "  2014-02-11 15:00:00   111.36000  1497521121       12.00        11600.0   \n",
       "  2014-02-18 15:00:00   108.20480  1497521122       11.66        11600.0   \n",
       "  2014-04-08 15:00:00   107.38560  1497521123       11.28        11900.0   \n",
       "  2014-04-21 15:00:00   101.76880  1497521124       10.69        11900.0   \n",
       "  2014-05-23 15:00:00   101.90400  1497521125       11.58        11000.0   \n",
       "  2014-06-13 15:00:00     5.00000  1497521126       10.12          100.0   \n",
       "  2014-07-09 15:00:00   102.67600  1497521127        9.65        13300.0   \n",
       "  2014-07-24 15:00:00   103.22560  1497521128       10.16        12700.0   \n",
       "  2014-08-25 15:00:00   103.73360  1497521129       10.21        12700.0   \n",
       "  2014-10-29 15:00:00   103.00000  1497521130       10.30        12500.0   \n",
       "  2015-01-20 15:00:00   138.30000  1497521131       13.83        12500.0   \n",
       "  2015-03-12 15:00:00   137.82400  1497521132       14.60        11800.0   \n",
       "  2015-05-11 15:00:00   181.58784  1497521133       16.03        14160.0   \n",
       "  2015-06-08 15:00:00   182.58240  1497521134       17.29        13200.0   \n",
       "  2015-06-17 15:00:00   166.10880  1497521135       15.73        13200.0   \n",
       "  2015-11-04 15:00:00   166.46560  1497521136       11.69        17800.0   \n",
       "  2015-12-04 15:00:00   172.58880  1497521137       12.12        17800.0   \n",
       "  2016-03-04 15:00:00   171.39200  1497521138       10.40        20600.0   \n",
       "  2016-04-19 15:00:00   177.48960  1497521139       10.77        20600.0   \n",
       "  2016-07-04 15:00:00   177.60960  1497521140        8.81        25200.0   \n",
       "  2016-09-09 15:00:00   189.10080  1497521141        9.38        25200.0   \n",
       "  2016-10-24 15:00:00   188.49600  1497521142        9.24        25500.0   \n",
       "  2016-11-09 15:00:00   185.02800  1497521143        9.07        25500.0   \n",
       "  2016-11-22 15:00:00   184.20480  1497521144        9.36        24600.0   \n",
       "  2016-12-19 15:00:00   181.05600  1497521145        9.20        24600.0   \n",
       "  2017-01-20 15:00:00   180.71200  1497521146        9.22        24500.0   \n",
       "  2017-03-17 15:00:00   182.47600  1497521147        9.31        24500.0   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2010-10-15 15:00:00   000001.XSHE  1497521501            None   BUY   平安银行   \n",
       "  2010-11-10 15:00:00   000001.XSHE  1497521502            None  SELL   平安银行   \n",
       "  2011-03-03 15:00:00   000001.XSHE  1497521503            None   BUY   平安银行   \n",
       "  2011-03-17 15:00:00   000001.XSHE  1497521504            None  SELL   平安银行   \n",
       "  2011-04-06 15:00:00   000001.XSHE  1497521505            None   BUY   平安银行   \n",
       "  2011-05-19 15:00:00   000001.XSHE  1497521507            None  SELL   平安银行   \n",
       "  2011-07-04 15:00:00   000001.XSHE  1497521508            None   BUY   平安银行   \n",
       "  2011-07-25 15:00:00   000001.XSHE  1497521509            None  SELL   平安银行   \n",
       "  2011-10-28 15:00:00   000001.XSHE  1497521510            None   BUY   平安银行   \n",
       "  2011-11-16 15:00:00   000001.XSHE  1497521511            None  SELL   平安银行   \n",
       "  2012-01-20 15:00:00   000001.XSHE  1497521512            None   BUY   平安银行   \n",
       "  2012-03-09 15:00:00   000001.XSHE  1497521516            None  SELL   平安银行   \n",
       "  2012-04-20 15:00:00   000001.XSHE  1497521517            None   BUY   平安银行   \n",
       "  2012-05-14 15:00:00   000001.XSHE  1497521519            None  SELL   平安银行   \n",
       "  2012-11-05 15:00:00   000001.XSHE  1497521520            None   BUY   平安银行   \n",
       "  2012-11-15 15:00:00   000001.XSHE  1497521521            None  SELL   平安银行   \n",
       "  2012-12-07 15:00:00   000001.XSHE  1497521522            None   BUY   平安银行   \n",
       "  2013-03-12 15:00:00   000001.XSHE  1497521528            None  SELL   平安银行   \n",
       "  2013-08-13 15:00:00   000001.XSHE  1497521529            None   BUY   平安银行   \n",
       "  2013-10-16 15:00:00   000001.XSHE  1497521532            None  SELL   平安银行   \n",
       "  2013-10-25 15:00:00   000001.XSHE  1497521533            None   BUY   平安银行   \n",
       "  2013-11-26 15:00:00   000001.XSHE  1497521535            None  SELL   平安银行   \n",
       "  2014-02-11 15:00:00   000001.XSHE  1497521536            None   BUY   平安银行   \n",
       "  2014-02-18 15:00:00   000001.XSHE  1497521538            None  SELL   平安银行   \n",
       "  2014-04-08 15:00:00   000001.XSHE  1497521539            None   BUY   平安银行   \n",
       "  2014-04-21 15:00:00   000001.XSHE  1497521541            None  SELL   平安银行   \n",
       "  2014-05-23 15:00:00   000001.XSHE  1497521542            None   BUY   平安银行   \n",
       "  2014-06-13 15:00:00   000001.XSHE  1497521544            None   BUY   平安银行   \n",
       "  2014-07-09 15:00:00   000001.XSHE  1497521545            None  SELL   平安银行   \n",
       "  2014-07-24 15:00:00   000001.XSHE  1497521546            None   BUY   平安银行   \n",
       "  2014-08-25 15:00:00   000001.XSHE  1497521547            None  SELL   平安银行   \n",
       "  2014-10-29 15:00:00   000001.XSHE  1497521548            None   BUY   平安银行   \n",
       "  2015-01-20 15:00:00   000001.XSHE  1497521551            None  SELL   平安银行   \n",
       "  2015-03-12 15:00:00   000001.XSHE  1497521552            None   BUY   平安银行   \n",
       "  2015-05-11 15:00:00   000001.XSHE  1497521554            None  SELL   平安银行   \n",
       "  2015-06-08 15:00:00   000001.XSHE  1497521555            None   BUY   平安银行   \n",
       "  2015-06-17 15:00:00   000001.XSHE  1497521556            None  SELL   平安银行   \n",
       "  2015-11-04 15:00:00   000001.XSHE  1497521557            None   BUY   平安银行   \n",
       "  2015-12-04 15:00:00   000001.XSHE  1497521558            None  SELL   平安银行   \n",
       "  2016-03-04 15:00:00   000001.XSHE  1497521559            None   BUY   平安银行   \n",
       "  2016-04-19 15:00:00   000001.XSHE  1497521561            None  SELL   平安银行   \n",
       "  2016-07-04 15:00:00   000001.XSHE  1497521562            None   BUY   平安银行   \n",
       "  2016-09-09 15:00:00   000001.XSHE  1497521567            None  SELL   平安银行   \n",
       "  2016-10-24 15:00:00   000001.XSHE  1497521568            None   BUY   平安银行   \n",
       "  2016-11-09 15:00:00   000001.XSHE  1497521569            None  SELL   平安银行   \n",
       "  2016-11-22 15:00:00   000001.XSHE  1497521570            None   BUY   平安银行   \n",
       "  2016-12-19 15:00:00   000001.XSHE  1497521571            None  SELL   平安银行   \n",
       "  2017-01-20 15:00:00   000001.XSHE  1497521572            None   BUY   平安银行   \n",
       "  2017-03-17 15:00:00   000001.XSHE  1497521578            None  SELL   平安银行   \n",
       "  \n",
       "                            tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                              \n",
       "  2010-10-15 15:00:00    0.0000  2010-10-15 15:00:00          79.66400  \n",
       "  2010-11-10 15:00:00   94.2760  2010-11-10 15:00:00         169.69680  \n",
       "  2011-03-03 15:00:00    0.0000  2011-03-03 15:00:00          74.78400  \n",
       "  2011-03-17 15:00:00   89.5470  2011-03-17 15:00:00         161.18460  \n",
       "  2011-04-06 15:00:00    0.0000  2011-04-06 15:00:00          72.08000  \n",
       "  2011-05-19 15:00:00   95.0290  2011-05-19 15:00:00         171.05220  \n",
       "  2011-07-04 15:00:00    0.0000  2011-07-04 15:00:00          75.81600  \n",
       "  2011-07-25 15:00:00   91.0980  2011-07-25 15:00:00         163.97640  \n",
       "  2011-10-28 15:00:00    0.0000  2011-10-28 15:00:00          72.20720  \n",
       "  2011-11-16 15:00:00   84.9590  2011-11-16 15:00:00         152.92620  \n",
       "  2012-01-20 15:00:00    0.0000  2012-01-20 15:00:00          67.12000  \n",
       "  2012-03-09 15:00:00   84.3500  2012-03-09 15:00:00         151.83000  \n",
       "  2012-04-20 15:00:00    0.0000  2012-04-20 15:00:00          67.64640  \n",
       "  2012-05-14 15:00:00   81.2940  2012-05-14 15:00:00         146.32920  \n",
       "  2012-11-05 15:00:00    0.0000  2012-11-05 15:00:00          65.32800  \n",
       "  2012-11-15 15:00:00   78.9000  2012-11-15 15:00:00         142.02000  \n",
       "  2012-12-07 15:00:00    0.0000  2012-12-07 15:00:00          62.80960  \n",
       "  2013-03-12 15:00:00  121.6320  2013-03-12 15:00:00         218.93760  \n",
       "  2013-08-13 15:00:00    0.0000  2013-08-13 15:00:00          97.44000  \n",
       "  2013-10-16 15:00:00  139.3160  2013-10-16 15:00:00         250.76880  \n",
       "  2013-10-25 15:00:00    0.0000  2013-10-25 15:00:00         110.66320  \n",
       "  2013-11-26 15:00:00  138.7410  2013-11-26 15:00:00         249.73380  \n",
       "  2014-02-11 15:00:00    0.0000  2014-02-11 15:00:00         111.36000  \n",
       "  2014-02-18 15:00:00  135.2560  2014-02-18 15:00:00         243.46080  \n",
       "  2014-04-08 15:00:00    0.0000  2014-04-08 15:00:00         107.38560  \n",
       "  2014-04-21 15:00:00  127.2110  2014-04-21 15:00:00         228.97980  \n",
       "  2014-05-23 15:00:00    0.0000  2014-05-23 15:00:00         101.90400  \n",
       "  2014-06-13 15:00:00    0.0000  2014-06-13 15:00:00           5.00000  \n",
       "  2014-07-09 15:00:00  128.3450  2014-07-09 15:00:00         231.02100  \n",
       "  2014-07-24 15:00:00    0.0000  2014-07-24 15:00:00         103.22560  \n",
       "  2014-08-25 15:00:00  129.6670  2014-08-25 15:00:00         233.40060  \n",
       "  2014-10-29 15:00:00    0.0000  2014-10-29 15:00:00         103.00000  \n",
       "  2015-01-20 15:00:00  172.8750  2015-01-20 15:00:00         311.17500  \n",
       "  2015-03-12 15:00:00    0.0000  2015-03-12 15:00:00         137.82400  \n",
       "  2015-05-11 15:00:00  226.9848  2015-05-11 15:00:00         408.57264  \n",
       "  2015-06-08 15:00:00    0.0000  2015-06-08 15:00:00         182.58240  \n",
       "  2015-06-17 15:00:00  207.6360  2015-06-17 15:00:00         373.74480  \n",
       "  2015-11-04 15:00:00    0.0000  2015-11-04 15:00:00         166.46560  \n",
       "  2015-12-04 15:00:00  215.7360  2015-12-04 15:00:00         388.32480  \n",
       "  2016-03-04 15:00:00    0.0000  2016-03-04 15:00:00         171.39200  \n",
       "  2016-04-19 15:00:00  221.8620  2016-04-19 15:00:00         399.35160  \n",
       "  2016-07-04 15:00:00    0.0000  2016-07-04 15:00:00         177.60960  \n",
       "  2016-09-09 15:00:00  236.3760  2016-09-09 15:00:00         425.47680  \n",
       "  2016-10-24 15:00:00    0.0000  2016-10-24 15:00:00         188.49600  \n",
       "  2016-11-09 15:00:00  231.2850  2016-11-09 15:00:00         416.31300  \n",
       "  2016-11-22 15:00:00    0.0000  2016-11-22 15:00:00         184.20480  \n",
       "  2016-12-19 15:00:00  226.3200  2016-12-19 15:00:00         407.37600  \n",
       "  2017-01-20 15:00:00    0.0000  2017-01-20 15:00:00         180.71200  \n",
       "  2017-03-17 15:00:00  228.0950  2017-03-17 15:00:00         410.57100  }}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.PERIOD = 20\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    prices = history_bars(context.s1, context.PERIOD+2, '1d', 'close')\n",
    "    mom = talib.ROCR100(prices, context.PERIOD)\n",
    "    upperband, middleband, lowerband = talib.BBANDS(prices, context.PERIOD)\n",
    "\n",
    "    cur_position = context.portfolio.positions[context.s1].quantity\n",
    "    shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "\n",
    "    if mom[-1] < 100 and cur_position > 0:\n",
    "        order_target_value(context.s1, 0)\n",
    "\n",
    "    if mom[-1]>100 and prices[-2]<=upperband[-2] and prices[-1]>=upperband[-1]:\n",
    "        order_shares(context.s1, shares)\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2010-06-01\",\n",
    "    \"end_date\": \"2017-05-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Bolling_Band策略\n",
    "Buy: 短期Mom>长期Mom 和 价格下穿LowerBand再回穿LowerBand\n",
    "Short: 短期Mom<长期Mom 或 价格上穿UpperBand再回穿UpperBand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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9ASja/34k2VSsyOOoKO6dPoldrdq66UYqFVU+7Y/6yROaLviJIuUrUGPYcCr388LWw4Mm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kpNtAKBDIzfvlzF6/d/ekZ9OR8s1HNoPjhS28V/Pn4Iu8tLWUEy9311MyqlYr67BYh5WuiI+Vn4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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xdbfcbb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':                cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                    \n",
       "  2014-06-03  1103.68      98896.32                  1.000    100000.00   \n",
       "  2014-06-04  1103.68      97900.42                  1.000     99004.10   \n",
       "  2014-06-05  1103.68      98927.60                  0.990    100031.28   \n",
       "  2014-06-06  1103.68      98197.12                  1.000     99300.80   \n",
       "  2014-06-09  1103.68      98176.88                  0.993     99280.56   \n",
       "  2014-06-10  1103.68      99418.42                  0.993    100522.10   \n",
       "  2014-06-11  1103.68      99395.42                  1.005    100499.10   \n",
       "  2014-06-12  1103.68      99056.86                  1.005    100160.54   \n",
       "  2014-06-13  1103.68     100107.04                  1.002    101210.72   \n",
       "  2014-06-16  1103.68     100825.56                  1.012    101929.24   \n",
       "  2014-06-17  1103.68      99804.82                  1.019    100908.50   \n",
       "  2014-06-18  1103.68      99371.04                  1.009    100474.72   \n",
       "  2014-06-19  1103.68      97837.86                  1.005     98941.54   \n",
       "  2014-06-20  1103.68      98289.58                  0.989     99393.26   \n",
       "  2014-06-23  1103.68      98169.06                  0.994     99272.74   \n",
       "  2014-06-24  1103.68      98661.72                  0.993     99765.40   \n",
       "  2014-06-25  1103.68      98135.02                  0.998     99238.70   \n",
       "  2014-06-26  1103.68      98857.68                  0.992     99961.36   \n",
       "  2014-06-27  1103.68      98911.96                  1.000    100015.64   \n",
       "  2014-06-30  1103.68      99595.52                  1.000    100699.20   \n",
       "  2014-07-01  1103.68      99569.76                  1.007    100673.44   \n",
       "  2014-07-02  1103.68      99860.02                  1.007    100963.70   \n",
       "  2014-07-03  1103.68     100288.74                  1.010    101392.42   \n",
       "  2014-07-04  1103.68     100220.20                  1.014    101323.88   \n",
       "  2014-07-07  1103.68     100109.34                  1.013    101213.02   \n",
       "  2014-07-08  1103.68     100301.62                  1.012    101405.30   \n",
       "  2014-07-09  1103.68      98840.66                  1.014     99944.34   \n",
       "  2014-07-10  1103.68      98571.10                  0.999     99674.78   \n",
       "  2014-07-11  1103.68      98808.46                  0.997     99912.14   \n",
       "  2014-07-14  1103.68      99900.96                  0.999    101004.64   \n",
       "  ...             ...           ...                    ...          ...   \n",
       "  2017-03-16  1103.68     160149.46                  1.604    161253.14   \n",
       "  2017-03-17  1103.68     158507.26                  1.613    159610.94   \n",
       "  2017-03-20  1103.68     158682.06                  1.596    159785.74   \n",
       "  2017-03-21  1103.68     159452.10                  1.598    160555.78   \n",
       "  2017-03-22  1103.68     158702.30                  1.606    159805.98   \n",
       "  2017-03-23  1103.68     159251.08                  1.598    160354.76   \n",
       "  2017-03-24  1103.68     160521.60                  1.604    161625.28   \n",
       "  2017-03-27  1103.68     159989.84                  1.616    161093.52   \n",
       "  2017-03-28  1103.68     159611.26                  1.611    160714.94   \n",
       "  2017-03-29  1103.68     159398.74                  1.607    160502.42   \n",
       "  2017-03-30  1103.68     158090.96                  1.605    159194.64   \n",
       "  2017-03-31  1103.68     158978.30                  1.592    160081.98   \n",
       "  2017-04-05  1103.68     161178.94                  1.601    162282.62   \n",
       "  2017-04-06  1103.68     161646.30                  1.623    162749.98   \n",
       "  2017-04-07  1103.68     161803.16                  1.627    162906.84   \n",
       "  2017-04-10  1103.68     161236.44                  1.629    162340.12   \n",
       "  2017-04-11  1103.68     161797.18                  1.623    162900.86   \n",
       "  2017-04-12  1103.68     161434.24                  1.629    162537.92   \n",
       "  2017-04-13  1103.68     161670.22                  1.625    162773.90   \n",
       "  2017-04-14  1103.68     160379.00                  1.628    161482.68   \n",
       "  2017-04-17  1103.68     160077.24                  1.615    161180.92   \n",
       "  2017-04-18  1103.68     159286.04                  1.612    160389.72   \n",
       "  2017-04-19  1103.68     158510.48                  1.604    159614.16   \n",
       "  2017-04-20  1103.68     159231.30                  1.596    160334.98   \n",
       "  2017-04-21  1103.68     159472.34                  1.603    160576.02   \n",
       "  2017-04-24  1103.68     157837.96                  1.606    158941.64   \n",
       "  2017-04-25  1103.68     158284.62                  1.589    159388.30   \n",
       "  2017-04-26  1103.68     158478.28                  1.594    159581.96   \n",
       "  2017-04-27  1103.68     158549.12                  1.596    159652.80   \n",
       "  2017-04-28  1103.68     158228.50                  1.597    159332.18   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2014-06-03        1.000000  100000  \n",
       "  2014-06-04        0.990041  100000  \n",
       "  2014-06-05        1.000313  100000  \n",
       "  2014-06-06        0.993008  100000  \n",
       "  2014-06-09        0.992806  100000  \n",
       "  2014-06-10        1.005221  100000  \n",
       "  2014-06-11        1.004991  100000  \n",
       "  2014-06-12        1.001605  100000  \n",
       "  2014-06-13        1.012107  100000  \n",
       "  2014-06-16        1.019292  100000  \n",
       "  2014-06-17        1.009085  100000  \n",
       "  2014-06-18        1.004747  100000  \n",
       "  2014-06-19        0.989415  100000  \n",
       "  2014-06-20        0.993933  100000  \n",
       "  2014-06-23        0.992727  100000  \n",
       "  2014-06-24        0.997654  100000  \n",
       "  2014-06-25        0.992387  100000  \n",
       "  2014-06-26        0.999614  100000  \n",
       "  2014-06-27        1.000156  100000  \n",
       "  2014-06-30        1.006992  100000  \n",
       "  2014-07-01        1.006734  100000  \n",
       "  2014-07-02        1.009637  100000  \n",
       "  2014-07-03        1.013924  100000  \n",
       "  2014-07-04        1.013239  100000  \n",
       "  2014-07-07        1.012130  100000  \n",
       "  2014-07-08        1.014053  100000  \n",
       "  2014-07-09        0.999443  100000  \n",
       "  2014-07-10        0.996748  100000  \n",
       "  2014-07-11        0.999121  100000  \n",
       "  2014-07-14        1.010046  100000  \n",
       "  ...                    ...     ...  \n",
       "  2017-03-16        1.612531  100000  \n",
       "  2017-03-17        1.596109  100000  \n",
       "  2017-03-20        1.597857  100000  \n",
       "  2017-03-21        1.605558  100000  \n",
       "  2017-03-22        1.598060  100000  \n",
       "  2017-03-23        1.603548  100000  \n",
       "  2017-03-24        1.616253  100000  \n",
       "  2017-03-27        1.610935  100000  \n",
       "  2017-03-28        1.607149  100000  \n",
       "  2017-03-29        1.605024  100000  \n",
       "  2017-03-30        1.591946  100000  \n",
       "  2017-03-31        1.600820  100000  \n",
       "  2017-04-05        1.622826  100000  \n",
       "  2017-04-06        1.627500  100000  \n",
       "  2017-04-07        1.629068  100000  \n",
       "  2017-04-10        1.623401  100000  \n",
       "  2017-04-11        1.629009  100000  \n",
       "  2017-04-12        1.625379  100000  \n",
       "  2017-04-13        1.627739  100000  \n",
       "  2017-04-14        1.614827  100000  \n",
       "  2017-04-17        1.611809  100000  \n",
       "  2017-04-18        1.603897  100000  \n",
       "  2017-04-19        1.596142  100000  \n",
       "  2017-04-20        1.603350  100000  \n",
       "  2017-04-21        1.605760  100000  \n",
       "  2017-04-24        1.589416  100000  \n",
       "  2017-04-25        1.593883  100000  \n",
       "  2017-04-26        1.595820  100000  \n",
       "  2017-04-27        1.596528  100000  \n",
       "  2017-04-28        1.593322  100000  \n",
       "  \n",
       "  [711 rows x 6 columns],\n",
       "  'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2014-06-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-05  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-06  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-09  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-12  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-13  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-16  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-19  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-20  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-23  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-24  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-25  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-26  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-27  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-06-30  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-08  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-09  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2014-07-14  100000.000           0.0                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2017-03-16  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-17  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-20  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-21  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-22  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-23  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-24  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-27  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-28  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-29  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-30  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-03-31  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-05  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-06  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-07  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-10  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-11  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-12  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-13  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-14  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-17  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-18  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-19  121454.716           0.0                  1.215   121454.716   \n",
       "  2017-04-20      45.667      121312.0                  1.215   121357.667   \n",
       "  2017-04-21      45.667      121992.0                  1.214   122037.667   \n",
       "  2017-04-24      45.667      121448.0                  1.220   121493.667   \n",
       "  2017-04-25      45.667      122400.0                  1.215   122445.667   \n",
       "  2017-04-26      45.667      122264.0                  1.224   122309.667   \n",
       "  2017-04-27      45.667      121992.0                  1.223   122037.667   \n",
       "  2017-04-28      45.667      122264.0                  1.220   122309.667   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2014-06-03        1.000000  100000  \n",
       "  2014-06-04        1.000000  100000  \n",
       "  2014-06-05        1.000000  100000  \n",
       "  2014-06-06        1.000000  100000  \n",
       "  2014-06-09        1.000000  100000  \n",
       "  2014-06-10        1.000000  100000  \n",
       "  2014-06-11        1.000000  100000  \n",
       "  2014-06-12        1.000000  100000  \n",
       "  2014-06-13        1.000000  100000  \n",
       "  2014-06-16        1.000000  100000  \n",
       "  2014-06-17        1.000000  100000  \n",
       "  2014-06-18        1.000000  100000  \n",
       "  2014-06-19        1.000000  100000  \n",
       "  2014-06-20        1.000000  100000  \n",
       "  2014-06-23        1.000000  100000  \n",
       "  2014-06-24        1.000000  100000  \n",
       "  2014-06-25        1.000000  100000  \n",
       "  2014-06-26        1.000000  100000  \n",
       "  2014-06-27        1.000000  100000  \n",
       "  2014-06-30        1.000000  100000  \n",
       "  2014-07-01        1.000000  100000  \n",
       "  2014-07-02        1.000000  100000  \n",
       "  2014-07-03        1.000000  100000  \n",
       "  2014-07-04        1.000000  100000  \n",
       "  2014-07-07        1.000000  100000  \n",
       "  2014-07-08        1.000000  100000  \n",
       "  2014-07-09        1.000000  100000  \n",
       "  2014-07-10        1.000000  100000  \n",
       "  2014-07-11        1.000000  100000  \n",
       "  2014-07-14        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2017-03-16        1.214547  100000  \n",
       "  2017-03-17        1.214547  100000  \n",
       "  2017-03-20        1.214547  100000  \n",
       "  2017-03-21        1.214547  100000  \n",
       "  2017-03-22        1.214547  100000  \n",
       "  2017-03-23        1.214547  100000  \n",
       "  2017-03-24        1.214547  100000  \n",
       "  2017-03-27        1.214547  100000  \n",
       "  2017-03-28        1.214547  100000  \n",
       "  2017-03-29        1.214547  100000  \n",
       "  2017-03-30        1.214547  100000  \n",
       "  2017-03-31        1.214547  100000  \n",
       "  2017-04-05        1.214547  100000  \n",
       "  2017-04-06        1.214547  100000  \n",
       "  2017-04-07        1.214547  100000  \n",
       "  2017-04-10        1.214547  100000  \n",
       "  2017-04-11        1.214547  100000  \n",
       "  2017-04-12        1.214547  100000  \n",
       "  2017-04-13        1.214547  100000  \n",
       "  2017-04-14        1.214547  100000  \n",
       "  2017-04-17        1.214547  100000  \n",
       "  2017-04-18        1.214547  100000  \n",
       "  2017-04-19        1.214547  100000  \n",
       "  2017-04-20        1.213577  100000  \n",
       "  2017-04-21        1.220377  100000  \n",
       "  2017-04-24        1.214937  100000  \n",
       "  2017-04-25        1.224457  100000  \n",
       "  2017-04-26        1.223097  100000  \n",
       "  2017-04-27        1.220377  100000  \n",
       "  2017-04-28        1.223097  100000  \n",
       "  \n",
       "  [711 rows x 6 columns],\n",
       "  'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2014-06-03  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-04  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-05  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-06  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-09  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-10  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-11  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-12  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-13  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-16  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-17  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-18  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-19  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-20  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-23  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-24  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-25  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-26  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-27  100000.000                    0           0.0   100000.000   \n",
       "  2014-06-30  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-01  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-02  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-03  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-04  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-07  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-08  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-09  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-10  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-11  100000.000                    0           0.0   100000.000   \n",
       "  2014-07-14  100000.000                    0           0.0   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2017-03-16  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-17  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-20  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-21  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-22  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-23  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-24  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-27  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-28  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-29  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-30  121454.716                    0           0.0   121454.716   \n",
       "  2017-03-31  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-05  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-06  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-07  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-10  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-11  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-12  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-13  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-14  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-17  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-18  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-19  121454.716                    0           0.0   121454.716   \n",
       "  2017-04-20      45.667                    0      121312.0   121357.667   \n",
       "  2017-04-21      45.667                    0      121992.0   122037.667   \n",
       "  2017-04-24      45.667                    0      121448.0   121493.667   \n",
       "  2017-04-25      45.667                    0      122400.0   122445.667   \n",
       "  2017-04-26      45.667                    0      122264.0   122309.667   \n",
       "  2017-04-27      45.667                    0      121992.0   122037.667   \n",
       "  2017-04-28      45.667                    0      122264.0   122309.667   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2014-06-03              0.00  \n",
       "  2014-06-04              0.00  \n",
       "  2014-06-05              0.00  \n",
       "  2014-06-06              0.00  \n",
       "  2014-06-09              0.00  \n",
       "  2014-06-10              0.00  \n",
       "  2014-06-11              0.00  \n",
       "  2014-06-12              0.00  \n",
       "  2014-06-13              0.00  \n",
       "  2014-06-16              0.00  \n",
       "  2014-06-17              0.00  \n",
       "  2014-06-18              0.00  \n",
       "  2014-06-19              0.00  \n",
       "  2014-06-20              0.00  \n",
       "  2014-06-23              0.00  \n",
       "  2014-06-24              0.00  \n",
       "  2014-06-25              0.00  \n",
       "  2014-06-26              0.00  \n",
       "  2014-06-27              0.00  \n",
       "  2014-06-30              0.00  \n",
       "  2014-07-01              0.00  \n",
       "  2014-07-02              0.00  \n",
       "  2014-07-03              0.00  \n",
       "  2014-07-04              0.00  \n",
       "  2014-07-07              0.00  \n",
       "  2014-07-08              0.00  \n",
       "  2014-07-09              0.00  \n",
       "  2014-07-10              0.00  \n",
       "  2014-07-11              0.00  \n",
       "  2014-07-14              0.00  \n",
       "  ...                      ...  \n",
       "  2017-03-16              0.00  \n",
       "  2017-03-17              0.00  \n",
       "  2017-03-20              0.00  \n",
       "  2017-03-21              0.00  \n",
       "  2017-03-22              0.00  \n",
       "  2017-03-23              0.00  \n",
       "  2017-03-24              0.00  \n",
       "  2017-03-27              0.00  \n",
       "  2017-03-28              0.00  \n",
       "  2017-03-29              0.00  \n",
       "  2017-03-30              0.00  \n",
       "  2017-03-31              0.00  \n",
       "  2017-04-05              0.00  \n",
       "  2017-04-06              0.00  \n",
       "  2017-04-07              0.00  \n",
       "  2017-04-10              0.00  \n",
       "  2017-04-11              0.00  \n",
       "  2017-04-12              0.00  \n",
       "  2017-04-13              0.00  \n",
       "  2017-04-14              0.00  \n",
       "  2017-04-17              0.00  \n",
       "  2017-04-18              0.00  \n",
       "  2017-04-19              0.00  \n",
       "  2017-04-20             97.05  \n",
       "  2017-04-21              0.00  \n",
       "  2017-04-24              0.00  \n",
       "  2017-04-25              0.00  \n",
       "  2017-04-26              0.00  \n",
       "  2017-04-27              0.00  \n",
       "  2017-04-28              0.00  \n",
       "  \n",
       "  [711 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2014-08-26      10.19       10.19       99862.0   000001.XSHE      9800   平安银行\n",
       "  2014-08-27      10.19       10.24      100352.0   000001.XSHE      9800   平安银行\n",
       "  2014-08-28      10.19       10.15       99470.0   000001.XSHE      9800   平安银行\n",
       "  2014-08-29      10.19       10.25      100450.0   000001.XSHE      9800   平安银行\n",
       "  2014-09-01      10.19       10.30      100940.0   000001.XSHE      9800   平安银行\n",
       "  2014-09-02      10.19       10.45      102410.0   000001.XSHE      9800   平安银行\n",
       "  2014-09-03      10.19       10.50      102900.0   000001.XSHE      9800   平安银行\n",
       "  2014-09-04      10.19       10.55      103390.0   000001.XSHE      9800   平安银行\n",
       "  2014-09-05      10.19       10.57           0.0   000001.XSHE         0   平安银行\n",
       "  2014-09-23      10.10       10.10      103020.0   000001.XSHE     10200   平安银行\n",
       "  2014-09-24      10.10       10.28           0.0   000001.XSHE         0   平安银行\n",
       "  2015-01-20      13.83       13.83      103725.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-21      13.83       14.42      108150.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-22      13.83       14.30      107250.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-23      13.83       14.40      108000.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-26      13.83       14.34      107550.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-27      13.83       13.99      104925.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-28      13.83       14.06      105450.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-29      13.83       13.90      104250.0   000001.XSHE      7500   平安银行\n",
       "  2015-01-30      13.83       13.93      104475.0   000001.XSHE      7500   平安银行\n",
       "  2015-02-02      13.83       13.63           0.0   000001.XSHE         0   平安银行\n",
       "  2015-03-06      13.44       13.44      102144.0   000001.XSHE      7600   平安银行\n",
       "  2015-03-09      13.44       14.15      107540.0   000001.XSHE      7600   平安银行\n",
       "  2015-03-10      13.44       13.77      104652.0   000001.XSHE      7600   平安银行\n",
       "  2015-03-11      13.44       13.86      105336.0   000001.XSHE      7600   平安银行\n",
       "  2015-03-12      13.44       14.60           0.0   000001.XSHE         0   平安银行\n",
       "  2015-06-29      13.56       13.56      111192.0   000001.XSHE      8200   平安银行\n",
       "  2015-06-30      13.56       14.54      119228.0   000001.XSHE      8200   平安银行\n",
       "  2015-07-01      13.56       13.92      114144.0   000001.XSHE      8200   平安银行\n",
       "  2015-07-02      13.56       13.75      112750.0   000001.XSHE      8200   平安银行\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2016-09-29       9.19        9.06      123216.0   000001.XSHE     13600   平安银行\n",
       "  2016-09-30       9.19        9.07      123352.0   000001.XSHE     13600   平安银行\n",
       "  2016-10-10       9.19        9.12      124032.0   000001.XSHE     13600   平安银行\n",
       "  2016-10-11       9.19        9.15      124440.0   000001.XSHE     13600   平安银行\n",
       "  2016-10-12       9.19        9.13      124168.0   000001.XSHE     13600   平安银行\n",
       "  2016-10-13       9.19        9.07      123352.0   000001.XSHE     13600   平安银行\n",
       "  2016-10-14       9.19        9.09      123624.0   000001.XSHE     13600   平安银行\n",
       "  2016-10-17       9.19        9.05           0.0   000001.XSHE         0   平安银行\n",
       "  2016-12-16       9.25        9.25      123025.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-19       9.25        9.20      122360.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-20       9.25        9.11      121163.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-21       9.25        9.16      121828.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-22       9.25        9.14      121562.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-23       9.25        9.08      120764.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-26       9.25        9.12      121296.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-27       9.25        9.08      120764.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-28       9.25        9.06      120498.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-29       9.25        9.08      120764.0   000001.XSHE     13300   平安银行\n",
       "  2016-12-30       9.25        9.10      121030.0   000001.XSHE     13300   平安银行\n",
       "  2017-01-03       9.25        9.16      121828.0   000001.XSHE     13300   平安银行\n",
       "  2017-01-04       9.25        9.16      121828.0   000001.XSHE     13300   平安银行\n",
       "  2017-01-05       9.25        9.17      121961.0   000001.XSHE     13300   平安银行\n",
       "  2017-01-06       9.25        9.13           0.0   000001.XSHE         0   平安银行\n",
       "  2017-04-20       8.92        8.92      121312.0   000001.XSHE     13600   平安银行\n",
       "  2017-04-21       8.92        8.97      121992.0   000001.XSHE     13600   平安银行\n",
       "  2017-04-24       8.92        8.93      121448.0   000001.XSHE     13600   平安银行\n",
       "  2017-04-25       8.92        9.00      122400.0   000001.XSHE     13600   平安银行\n",
       "  2017-04-26       8.92        8.99      122264.0   000001.XSHE     13600   平安银行\n",
       "  2017-04-27       8.92        8.97      121992.0   000001.XSHE     13600   平安银行\n",
       "  2017-04-28       8.92        8.99      122264.0   000001.XSHE     13600   平安银行\n",
       "  \n",
       "  [143 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.003,\n",
       "   'annualized_returns': 0.072,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.174,\n",
       "   'benchmark_total_returns': 0.593,\n",
       "   'beta': 0.271,\n",
       "   'cash': 45.667,\n",
       "   'downside_risk': 0.161,\n",
       "   'end_date': '2017-04-28',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': -0.456,\n",
       "   'max_drawdown': 0.188,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.279,\n",
       "   'sortino': 0.294,\n",
       "   'start_date': '2014-06-03',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 0.223,\n",
       "   'total_value': 122309.667,\n",
       "   'tracking_error': 0.252,\n",
       "   'unit_net_value': 1.223,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.169},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2014-08-26 15:00:00     79.8896  1497520603       10.19           9800   \n",
       "  2014-09-05 15:00:00     82.8688  1497520604       10.57           9800   \n",
       "  2014-09-23 15:00:00     82.4160  1497520605       10.10          10200   \n",
       "  2014-09-24 15:00:00     83.8848  1497520606       10.28          10200   \n",
       "  2015-01-20 15:00:00     82.9800  1497520607       13.83           7500   \n",
       "  2015-02-02 15:00:00     81.7800  1497520608       13.63           7500   \n",
       "  2015-03-06 15:00:00     81.7152  1497520609       13.44           7600   \n",
       "  2015-03-12 15:00:00     88.7680  1497520610       14.60           7600   \n",
       "  2015-06-29 15:00:00     88.9536  1497520611       13.56           8200   \n",
       "  2015-07-10 15:00:00     97.4816  1497520612       14.86           8200   \n",
       "  2015-07-28 15:00:00     96.9216  1497520613       12.62           9600   \n",
       "  2015-08-10 15:00:00     99.2256  1497520614       12.92           9600   \n",
       "  2015-08-26 15:00:00     99.1000  1497520615        9.91          12500   \n",
       "  2015-09-08 15:00:00    110.0000  1497520616       11.00          12500   \n",
       "  2015-11-30 15:00:00    109.8864  1497520617       11.74          11700   \n",
       "  2015-12-07 15:00:00    113.7240  1497520618       12.15          11700   \n",
       "  2016-01-05 15:00:00    113.0880  1497520619       11.40          12400   \n",
       "  2016-02-16 15:00:00     99.2992  1497520620       10.01          12400   \n",
       "  2016-05-11 15:00:00     99.5520  1497520621       10.37          12000   \n",
       "  2016-06-02 15:00:00    100.4160  1497520622       10.46          12000   \n",
       "  2016-09-13 15:00:00     99.9872  1497520623        9.19          13600   \n",
       "  2016-10-17 15:00:00     98.4640  1497520624        9.05          13600   \n",
       "  2016-12-16 15:00:00     98.4200  1497520625        9.25          13300   \n",
       "  2017-01-06 15:00:00     97.1432  1497520626        9.13          13300   \n",
       "  2017-04-20 15:00:00     97.0496  1497520627        8.92          13600   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2014-08-26 15:00:00   000001.XSHE  1497520817            None   BUY   平安银行   \n",
       "  2014-09-05 15:00:00   000001.XSHE  1497520818            None  SELL   平安银行   \n",
       "  2014-09-23 15:00:00   000001.XSHE  1497520819            None   BUY   平安银行   \n",
       "  2014-09-24 15:00:00   000001.XSHE  1497520820            None  SELL   平安银行   \n",
       "  2015-01-20 15:00:00   000001.XSHE  1497520821            None   BUY   平安银行   \n",
       "  2015-02-02 15:00:00   000001.XSHE  1497520822            None  SELL   平安银行   \n",
       "  2015-03-06 15:00:00   000001.XSHE  1497520823            None   BUY   平安银行   \n",
       "  2015-03-12 15:00:00   000001.XSHE  1497520824            None  SELL   平安银行   \n",
       "  2015-06-29 15:00:00   000001.XSHE  1497520825            None   BUY   平安银行   \n",
       "  2015-07-10 15:00:00   000001.XSHE  1497520826            None  SELL   平安银行   \n",
       "  2015-07-28 15:00:00   000001.XSHE  1497520827            None   BUY   平安银行   \n",
       "  2015-08-10 15:00:00   000001.XSHE  1497520828            None  SELL   平安银行   \n",
       "  2015-08-26 15:00:00   000001.XSHE  1497520829            None   BUY   平安银行   \n",
       "  2015-09-08 15:00:00   000001.XSHE  1497520830            None  SELL   平安银行   \n",
       "  2015-11-30 15:00:00   000001.XSHE  1497520831            None   BUY   平安银行   \n",
       "  2015-12-07 15:00:00   000001.XSHE  1497520832            None  SELL   平安银行   \n",
       "  2016-01-05 15:00:00   000001.XSHE  1497520833            None   BUY   平安银行   \n",
       "  2016-02-16 15:00:00   000001.XSHE  1497520835            None  SELL   平安银行   \n",
       "  2016-05-11 15:00:00   000001.XSHE  1497520836            None   BUY   平安银行   \n",
       "  2016-06-02 15:00:00   000001.XSHE  1497520837            None  SELL   平安银行   \n",
       "  2016-09-13 15:00:00   000001.XSHE  1497520838            None   BUY   平安银行   \n",
       "  2016-10-17 15:00:00   000001.XSHE  1497520840            None  SELL   平安银行   \n",
       "  2016-12-16 15:00:00   000001.XSHE  1497520841            None   BUY   平安银行   \n",
       "  2017-01-06 15:00:00   000001.XSHE  1497520842            None  SELL   平安银行   \n",
       "  2017-04-20 15:00:00   000001.XSHE  1497520843            None   BUY   平安银行   \n",
       "  \n",
       "                           tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                             \n",
       "  2014-08-26 15:00:00    0.000  2014-08-26 15:00:00           79.8896  \n",
       "  2014-09-05 15:00:00  103.586  2014-09-05 15:00:00          186.4548  \n",
       "  2014-09-23 15:00:00    0.000  2014-09-23 15:00:00           82.4160  \n",
       "  2014-09-24 15:00:00  104.856  2014-09-24 15:00:00          188.7408  \n",
       "  2015-01-20 15:00:00    0.000  2015-01-20 15:00:00           82.9800  \n",
       "  2015-02-02 15:00:00  102.225  2015-02-02 15:00:00          184.0050  \n",
       "  2015-03-06 15:00:00    0.000  2015-03-06 15:00:00           81.7152  \n",
       "  2015-03-12 15:00:00  110.960  2015-03-12 15:00:00          199.7280  \n",
       "  2015-06-29 15:00:00    0.000  2015-06-29 15:00:00           88.9536  \n",
       "  2015-07-10 15:00:00  121.852  2015-07-10 15:00:00          219.3336  \n",
       "  2015-07-28 15:00:00    0.000  2015-07-28 15:00:00           96.9216  \n",
       "  2015-08-10 15:00:00  124.032  2015-08-10 15:00:00          223.2576  \n",
       "  2015-08-26 15:00:00    0.000  2015-08-26 15:00:00           99.1000  \n",
       "  2015-09-08 15:00:00  137.500  2015-09-08 15:00:00          247.5000  \n",
       "  2015-11-30 15:00:00    0.000  2015-11-30 15:00:00          109.8864  \n",
       "  2015-12-07 15:00:00  142.155  2015-12-07 15:00:00          255.8790  \n",
       "  2016-01-05 15:00:00    0.000  2016-01-05 15:00:00          113.0880  \n",
       "  2016-02-16 15:00:00  124.124  2016-02-16 15:00:00          223.4232  \n",
       "  2016-05-11 15:00:00    0.000  2016-05-11 15:00:00           99.5520  \n",
       "  2016-06-02 15:00:00  125.520  2016-06-02 15:00:00          225.9360  \n",
       "  2016-09-13 15:00:00    0.000  2016-09-13 15:00:00           99.9872  \n",
       "  2016-10-17 15:00:00  123.080  2016-10-17 15:00:00          221.5440  \n",
       "  2016-12-16 15:00:00    0.000  2016-12-16 15:00:00           98.4200  \n",
       "  2017-01-06 15:00:00  121.429  2017-01-06 15:00:00          218.5722  \n",
       "  2017-04-20 15:00:00    0.000  2017-04-20 15:00:00           97.0496  }}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.SHORTPERIOD = 3\n",
    "    context.LONGPERIOD = 10\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    prices = history_bars(context.s1, context.LONGPERIOD+2, '1d', 'close')\n",
    "    short_mom = talib.ROCR100(prices, context.SHORTPERIOD)\n",
    "    long_mom = talib.ROCR100(prices, context.LONGPERIOD)\n",
    "    upperband, middleband, lowerband = talib.BBANDS(prices, context.LONGPERIOD)\n",
    "\n",
    "    cur_position = context.portfolio.positions[context.s1].quantity\n",
    "    shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "\n",
    "    if short_mom[-1] < long_mom[-1] and cur_position > 0:\n",
    "        order_target_value(context.s1, 0)\n",
    "\n",
    "    if short_mom[-1]>long_mom[-1] and prices[-2]<=lowerband[-2] and prices[-1]>=lowerband[-1]:\n",
    "        order_shares(context.s1, shares)\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2014-06-01\",\n",
    "    \"end_date\": \"2017-05-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  }
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